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Venues (Conferences, Journals, ...)
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GrowBag graphs for keyword ? (Num. hits/coverage)
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The graphs summarize 364 occurrences of 198 keywords
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Results
Found 1365 publication records. Showing 1365 according to the selection in the facets
Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
14 | Erick Rodríguez-Esparza, Laura A. Zanella-Calzada, Diego Oliva, Marco Pérez-Cisneros |
Automatic detection and classification of abnormal tissues on digital mammograms based on a bag-of-visual-words approach. |
Medical Imaging: Computer-Aided Diagnosis |
2020 |
DBLP DOI BibTeX RDF |
|
14 | Hang Min, Devin Wilson, Yinhuang Huang, Siyu Liu 0002, Stuart Crozier, Andrew P. Bradley, Shekhar S. Chandra |
Fully Automatic Computer-aided Mass Detection and Segmentation via Pseudo-color Mammograms and Mask R-CNN. |
ISBI |
2020 |
DBLP DOI BibTeX RDF |
|
14 | George Apostolopoulos, Athanasios Koutras, Dionysios Anyfantis, Ioanna Christoyianni, Evaggelos Dermatas |
Fusing Low-Level Visual Features and High-Level Semantic Features for Breast Cancer Diagnosis in Digital Mammograms. |
BIBE |
2020 |
DBLP DOI BibTeX RDF |
|
14 | Xuran Zhao, Luyang Yu, Xun Wang 0007 |
Cross-View Attention Network for Breast Cancer Screening from Multi-View Mammograms. |
ICASSP |
2020 |
DBLP DOI BibTeX RDF |
|
14 | Haipeng Li, Ramakrishnan Mukundan, Shelley Boyd |
Robust Texture Features for Breast Density Classification in Mammograms. |
ICARCV |
2020 |
DBLP DOI BibTeX RDF |
|
14 | Sarath Chandra K, Arunava Chakravarty, Nirmalya Ghosh, Tandra Sarkar, Ramanathan Sethuraman, Debdoot Sheet |
A Two-Stage Multiple Instance Learning Framework for the Detection of Breast Cancer in Mammograms. |
EMBC |
2020 |
DBLP DOI BibTeX RDF |
|
14 | Rocco Lamastra, Patrizio Barca, Maria Giuseppina Bisogni, Davide Caramella, V. Rosso, Raffaele M. Tucciariello, Antonio C. Traino, Maria Evelina Fantacci |
Image Quality Comparison between Synthetic 2D Mammograms Obtained with 15º and 40º X-ray Tube Angular Range: A Quantitative Phantom Study. |
BIOIMAGING |
2020 |
DBLP DOI BibTeX RDF |
|
14 | Gloria Gonella, Marco Paracchini, Elisabetta Binaghi, Marco Marcon |
Breast Lesion Detection from Mammograms Using Deep Convolutional Neural Networks. |
ESSE |
2020 |
DBLP DOI BibTeX RDF |
|
14 | Yuting Tang, Junfeng Wang 0001 |
Enhancement of Mammograms with Periphery Brightness Compensation. |
ICSPCC |
2020 |
DBLP DOI BibTeX RDF |
|
14 | Anita Rybialek, Lukasz Jelen |
Application of DenseNets for Classification of Breast Cancer Mammograms. |
CISIM |
2020 |
DBLP DOI BibTeX RDF |
|
14 | Chandra Mohan Bhuma |
Three Class Classification of Digital Mammograms using Chebyshev Moments and Convolutional Neural Network. |
ICCCS |
2020 |
DBLP DOI BibTeX RDF |
|
14 | Che-Lun Hung, Chun-Yuan Lin |
GPU-Based Texture Analysis approach for Mammograms Institute of Biomedical Informatics. |
BIBM |
2020 |
DBLP DOI BibTeX RDF |
|
14 | Areej S. Aloufi, Abdulrahman AlNaeem, Abeer Almousa, Khaled Alzimami, Abdulrahman Alfuraih, Bader Alshahrani, Mohammed Zayed, Taghrid AlMashouq, Saud Alnasser, Khera Aldossari, Mona Alomrani, Iman Alzahrani, Elaine F. Harkness, Susan M. Astley |
Breast density in Saudi Arabia: intra and inter reader variability in screening mammograms assessed visually using BI-RADS and visual analogue scales. |
Medical Imaging: Image Perception, Observer Performance, and Technology Assessment |
2020 |
DBLP DOI BibTeX RDF |
|
14 | Xiang Yu, Shuihua Wang |
Abnormality Diagnosis in Mammograms by Transfer Learning Based on ResNet18. |
Fundam. Informaticae |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Ricardo Wandré Dias Pedro, Ariane Machado-Lima, Fátima L. S. Nunes |
Is mass classification in mammograms a solved problem? - A critical review over the last 20 years. |
Expert Syst. Appl. |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Ahlem Melouah, Soumia Layachi |
Novel automatic seed selection approach for mass detection in mammograms. |
Int. J. Comput. Sci. Eng. |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Merati Medjeded, Saïd Mahmoudi, Abdelkader Chenine, Mohamed Chikh |
A New Triplet Convolutional Neural Network for Classification of Lesions on Mammograms. |
Rev. d'Intelligence Artif. |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Ramayanam Suresh, A. Nagaraja Rao, B. Eswara Reddy |
Detection and classification of normal and abnormal patterns in mammograms using deep neural network. |
Concurr. Comput. Pract. Exp. |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Yoshio Rubio, Oscar Montiel, Roberto Sepúlveda |
Quantum inspired algorithm for microcalcification detection in mammograms. |
Inf. Sci. |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Xiaoman Duan, Genggeng Qin, Qingqing Ling, Sina Wang, Zeyuan Xu, Hui Zeng, Bin Li 0050, Weiguo Chen, Linghong Zhou, Yuan Xu |
Matching Corresponding Regions of Interest on Cranio-Caudal and Medio-Lateral Oblique View Mammograms. |
IEEE Access |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Mohammed F. Alhamid |
Investigation of mammograms in the cloud for smart healthcare. |
Multim. Tools Appl. |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Khaoula Belhaj Soulami, Mohamed Nabil Saidi, Bouchra Honnit, Chaimae Anibou, Ahmed Tamtaoui |
Detection of breast abnormalities in digital mammograms using the electromagnetism-like algorithm. |
Multim. Tools Appl. |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Jinjin Hai, Hongna Tan, Jian Chen 0025, Minghui Wu, Kai Qiao, Jingbo Xu 0003, Lei Zeng, Fei Gao, Dapeng Shi, Bin Yan 0002 |
Multi-level features combined end-to-end learning for automated pathological grading of breast cancer on digital mammograms. |
Comput. Medical Imaging Graph. |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Francesca Lizzi, Maria Evelina Fantacci, Piernicola Oliva |
Deep-Learning Based Analyses of Mammograms to Improve the Estimation of Breast Cancer Risk. |
ERCIM News |
2019 |
DBLP BibTeX RDF |
|
14 | Andrik Rampun, Karen López-Linares, Philip J. Morrow, Bryan W. Scotney, Hui Wang 0001, Inmaculada Garcia Ocaña, Gregory Maclair, Reyer Zwiggelaar, Miguel Ángel González Ballester, Iván Macía |
Breast pectoral muscle segmentation in mammograms using a modified holistically-nested edge detection network. |
Medical Image Anal. |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Hongmin Cai, Qinjian Huang, Wentao Rong, Yan Song, Jiao Li, Jinhua Wang, Jiazhou Chen, Li Li 0032 |
Breast Microcalcification Diagnosis Using Deep Convolutional Neural Network from Digital Mammograms. |
Comput. Math. Methods Medicine |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Vikrant Anilrao Karale, Joshua Peter Ebenezer, Jayasree Chakraborty, Tulika Singh, Anup K. Sadhu, Niranjan Khandelwal, Sudipta Mukhopadhyay |
A Screening CAD Tool for the Detection of Microcalcification Clusters in Mammograms. |
J. Digit. Imaging |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Suneeta Mall, Patrick C. Brennan, Claudia Mello-Thoms |
Can a Machine Learn from Radiologists' Visual Search Behaviour and Their Interpretation of Mammograms - a Deep-Learning Study. |
J. Digit. Imaging |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Subbiahpillai Neelakantapillai Kumar, A. Lenin Fred, P. Sebastin Varghese |
Suspicious Lesion Segmentation on Brain, Mammograms and Breast MR Images Using New Optimized Spatial Feature Based Super-Pixel Fuzzy C-Means Clustering. |
J. Digit. Imaging |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Ray Cody Mayo, Daniel Kent 0003, Lauren Chang Sen, Megha Kapoor, Jessica W. T. Leung, Alyssa T. Watanabe |
Reduction of False-Positive Markings on Mammograms: a Retrospective Comparison Study Using an Artificial Intelligence-Based CAD. |
J. Digit. Imaging |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Runze Wang, Yide Ma, Wenhao Sun, Yanan Guo 0001, Wendao Wang, Yunliang Qi, Xiaonan Gong |
Multi-level nested pyramid network for mass segmentation in mammograms. |
Neurocomputing |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Hang Min, Devin Wilson, Yinhuang Huang, Samuel Kelly, Stuart Crozier, Andrew P. Bradley, Shekhar S. Chandra |
Fully automatic computer-aided mass detection and segmentation via pseudo-color mammograms and Mask R-CNN. |
CoRR |
2019 |
DBLP BibTeX RDF |
|
14 | Ran Bakalo, Jacob Goldberger, Rami Ben-Ari |
A dual branch deep neural network for classification and detection in mammograms. |
CoRR |
2019 |
DBLP BibTeX RDF |
|
14 | Ran Bakalo, Rami Ben-Ari, Jacob Goldberger |
Classification and Detection in Mammograms with Weak Supervision via Dual Branch Deep Neural Net. |
CoRR |
2019 |
DBLP BibTeX RDF |
|
14 | Bilal Ahmed Lodhi |
Unsupervised Method to Localize Masses in Mammograms. |
CoRR |
2019 |
DBLP BibTeX RDF |
|
14 | Kaiming Yin, Shiju Yan, Chengli Song, Bin Zheng 0001 |
A robust method for segmenting pectoral muscle in mediolateral oblique (MLO) mammograms. |
Int. J. Comput. Assist. Radiol. Surg. |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Rongbo Shen, Kezhou Yan, Kuan Tian, Cheng Jiang 0001, Ke Zhou 0001 |
Breast mass detection from the digitized X-ray mammograms based on the combination of deep active learning and self-paced learning. |
Future Gener. Comput. Syst. |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Nashid Alam, Erika R. E. Denton, Reyer Zwiggelaar |
Classification of Microcalcification Clusters in Digital Mammograms Using a Stack Generalization Based Classifier. |
J. Imaging |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Lazaros T. Tsochatzidis, Lena Costaridou, Ioannis Pratikakis |
Deep Learning for Breast Cancer Diagnosis from Mammograms - A Comparative Study. |
J. Imaging |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Ana C. Perre, Luís A. Alexandre, Luís C. Freire |
Lesion classification in mammograms using convolutional neural networks and transfer learning. |
Comput. methods Biomech. Biomed. Eng. Imaging Vis. |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Ayelet Akselrod-Ballin, Leonid Karlinsky, Sharon Alpert, Sharbell Y. Hasoul, Rami Ben-Ari, Ella Barkan |
A CNN based method for automatic mass detection and classification in mammograms. |
Comput. methods Biomech. Biomed. Eng. Imaging Vis. |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Amira Jouirou, Abir Baâzaoui, Walid Barhoumi |
Multi-view information fusion in mammograms: A comprehensive overview. |
Inf. Fusion |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Ganesh Ram Sinha, Bhagwati Charan Patel |
Mammograms-Breast Cancer Images. |
|
2019 |
DOI RDF |
|
14 | Juan Wang 0007, Yongyi Yang |
A Hierarchical Learning Approach for Detection of Clustered Microcalcifications in Mammograms. |
ICIP |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Khaoula Belhaj Soulami, Elias Ghribi, Mohamed Nabil Saidi, Ahmed Tamtaoui, Naima Kaabouch |
Breast Cancer: Segmentation of Mammograms using Invasive Weed optimization and SUSAN algorithms. |
EIT |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Rabie Fadil, Andie Jackson, Badr Abou El Majd, Hassan El Ghazi, Naima Kaabouch |
Segmentation of Microcalcifications in Mammograms: A comparative Study. |
EIT |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Haipeng Li, Ramakrishnan Mukundan, Shelley Boyd |
A Novel Application of Multifractal Features for Detection of Microcalcifications in Digital Mammograms. |
MIUA |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Guanxiong Cai, Yanhui Guo, Weiguo Chen, Hui Zeng, Yuanpin Zhou, Yao Lu 0007 |
Computer-aided detection and classification of microcalcification clusters on full field digital mammograms using deep convolution neural network. |
Medical Imaging: Computer-Aided Diagnosis |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Giacomo Nebbia, Aly A. Mohamed, Ruimei Chai, Bingjie Zheng, Margarita L. Zuley, Shandong Wu |
Deep learning of sub-regional breast parenchyma in mammograms for localized breast cancer risk prediction. |
Medical Imaging: Computer-Aided Diagnosis |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Doiriel Vanegas C., Mahlet A. Birhanu, Nico Karssemeijer, Albert Gubern-Mérida, Michiel Kallenberg |
A deep learning method for volumetric breast density estimation from processed full field digital mammograms. |
Medical Imaging: Computer-Aided Diagnosis |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Dehan Kong, Yinhao Ren, Rui Hou 0002, Lars J. Grimm, Jeffrey R. Marks, Joseph Y. Lo |
Synthesis and texture manipulation of screening mammograms using conditional generative adversarial network. |
Medical Imaging: Computer-Aided Diagnosis |
2019 |
DBLP DOI BibTeX RDF |
|
14 | María V. Sainz de Cea, Robert M. Nishikawa, Yongyi Yang |
Limiting Level of False-Positive Detections in Classification of Microcalcification Clusters in Mammograms. |
ISBI |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Ran Bakalo, Rami Ben-Ari, Jacob Goldberger |
Classification and Detection in Mammograms With Weak Supervision Via Dual Branch Deep Neural Net. |
ISBI |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Vivek Kumar Singh 0008, Mohamed Abdel-Nasser, Hatem A. Rashwan, Farhan Akram, Rami Haffar, Nidhi Pandey, Md. Mostafa Kamal Sarker, Sebastian Kohan, Josep Guma, Santiago Romaní, Domenec Puig |
Mass Detection in Mammograms Using a Robust Deep Learning Model. |
CCIA |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Abdelali Elmoufidi |
Pre-Processing Algorithms on Digital X-ray Mammograms. |
ISC2 |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Yutong Yan, Pierre-Henri Conze, Etienne Decencière, Mathieu Lamard, Gwenolé Quellec, Béatrice Cochener, Gouenou Coatrieux |
Cascaded multi-scale convolutional encoder-decoders for breast mass segmentation in high-resolution mammograms. |
EMBC |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Ricardo Wandré Dias Pedro, Ariane Machado-Lima, Fátima L. S. Nunes |
A New Syntactic Approach for Masses Classification in Digital Mammograms. |
CBMS |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Patrizio Barca, Rocco Lamastra, Davide Caramella, Antonio C. Traino, Raffaele M. Tucciariello, Maria Evelina Fantacci |
Image Quality Comparison between Digital and Synthetic 2D Mammograms: A Qualitative and Quantitative Phantom Study. |
BIOIMAGING |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Erick Rodríguez-Esparza, Laura A. Zanella-Calzada, Diego Oliva, Salvador Hinojosa, Marco Antonio Pérez Cisneros |
Multilevel segmentation for automatic detection of malignant masses in digital mammograms based on threshold comparison. |
LA-CCI |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Zhenjie Cao, Zhicheng Yang, Yanbo Zhang, Ruei-Sung Lin, Shibin Wu, Lingyun Huang, Mei Han, Jie Ma |
Deep Learning Based Mass Detection in Mammograms. |
GlobalSIP |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Fandong Zhang, Ling Luo, Xinwei Sun 0001, Zhen Zhou, Xiuli Li, Yizhou Yu, Yizhou Wang 0001 |
Cascaded Generative and Discriminative Learning for Microcalcification Detection in Breast Mammograms. |
CVPR |
2019 |
DBLP BibTeX RDF |
|
14 | Magdalena Jasionowska, Aleksandra Gacek |
Wavelet Convolution Neural Network for Classification of Spiculated Findings in Mammograms. |
ITIB |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Zhenjie Cao, Zhicheng Yang, Xiaoyan Zhuo, Ruei-Sung Lin, Shibin Wu, Lingyun Huang, Mei Han, Yanbo Zhang, Jie Ma |
DeepLIMa: Deep Learning Based Lesion Identification in Mammograms. |
ICCV Workshops |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Chunze Lin, Ruixiang Tang, Darryl D. Lin, Langechuan Liu, Jiwen Lu, Yunqiang Chen, Dashan Gao 0001, Jie Zhou 0001 |
Breast Mass Detection in Mammograms via Blending Adversarial Learning. |
SASHIMI@MICCAI |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Mickael Tardy, Bruno Scheffer, Diana Mateus |
Uncertainty Measurements for the Reliable Classification of Mammograms. |
MICCAI (6) |
2019 |
DBLP DOI BibTeX RDF |
|
14 | S. Sasikala, M. Bharathi, M. Ezhilarasi, S. Arunkumar |
Breast Cancer Detection Based on Medio-Lateral ObliqueView and Cranio-Caudal View Mammograms: An Overview. |
iCAST |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Suneeta Mall, Elizabeth A. Krupinski, Claudia Mello-Thoms |
Missed cancer and visual search of mammograms: what feature based machine-learning can tell us that deep-convolution learning cannot. |
Medical Imaging: Image Perception, Observer Performance, and Technology Assessment |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Runze Wang, Yanan Guo 0001, Wendao Wang, Yide Ma |
Bi-ResNet: Fully Automated Classification of Unregistered Contralateral Mammograms. |
ICANN (Workshop) |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Zhenjie Cao, Zhicheng Yang, Xinya Liu, Yanbo Zhang, Shibin Wu, Ruei-Sung Lin, Lingyun Huang, Mei Han, Jie Ma |
Deep Learning Based Lesion Detection For Mammograms. |
ICHI |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Benedetta Savelli, Claudio Marrocco, Alessandro Bria, Mario Molinara, Francesco Tortorella |
Combining Convolutional Neural Networks for Multi-context Microcalcification Detection in Mammograms. |
CAIP Workshops |
2019 |
DBLP DOI BibTeX RDF |
|
14 | V. Sivakrithika, K. Dinakaran |
Subclass based parallel learning neural network for classification of masses in mammograms. |
Des. Autom. Embed. Syst. |
2018 |
DBLP DOI BibTeX RDF |
|
14 | Idil Isikli Esener, Semih Ergin, Tolga Yüksel |
A novel multistage system for the detection and removal of pectoral muscles in mammograms. |
Turkish J. Electr. Eng. Comput. Sci. |
2018 |
DBLP DOI BibTeX RDF |
|
14 | Hamed Khodadadi, Ali Khaki-Sedigh, Mohammad Ataei, Mohammad Reza Jahed-Motlagh |
Applying a modified version of Lyapunov exponent for cancer diagnosis in biomedical images: the case of breast mammograms. |
Multidimens. Syst. Signal Process. |
2018 |
DBLP DOI BibTeX RDF |
|
14 | Juan Wang 0002, Yongyi Yang |
A context-sensitive deep learning approach for microcalcification detection in mammograms. |
Pattern Recognit. |
2018 |
DBLP DOI BibTeX RDF |
|
14 | Rihab Lajili, Karim Kalti, Asma Touil, Basel Solaiman, Najoua Essoukri Ben Amara |
Two-step evidential fusion approach for accurate breast region segmentation in mammograms. |
IET Image Process. |
2018 |
DBLP DOI BibTeX RDF |
|
14 | Kanchan Lata Kashyap, Manish Kumar Bajpai, Pritee Khanna, George C. Giakos |
Mesh-free approach for enhancement of mammograms. |
IET Image Process. |
2018 |
DBLP DOI BibTeX RDF |
|
14 | Jinn-Yi Yeh, Si-Wa Chan |
Decomposition and recompilation of mammograms for breast tumour detection. |
Expert Syst. J. Knowl. Eng. |
2018 |
DBLP DOI BibTeX RDF |
|
14 | Sevastianos E. Chatzistergos, Ioannis Andreadis, Konstantina S. Nikita |
Identification of architectural distortions in mammograms using local binary patterns and radial lengths through an exhaustive evaluation framework. |
Expert Syst. J. Knowl. Eng. |
2018 |
DBLP DOI BibTeX RDF |
|
14 | Kanchan Lata Kashyap, Manish Kumar Bajpai, Pritee Khanna |
An efficient algorithm for mass detection and shape analysis of different masses present in digital mammograms. |
Multim. Tools Appl. |
2018 |
DBLP DOI BibTeX RDF |
|
14 | P. S. Vikhe, V. R. Thool |
Morphological operation and scaled Réyni entropy based approach for masses detection in mammograms. |
Multim. Tools Appl. |
2018 |
DBLP DOI BibTeX RDF |
|
14 | Imad Zyout, Roberto Togneri |
A computer-aided detection of the architectural distortion in digital mammograms using the fractal dimension measurements of BEMD. |
Comput. Medical Imaging Graph. |
2018 |
DBLP DOI BibTeX RDF |
|
14 | Mugahed A. Al-antari, Mohammed A. Al-masni, Mun-Taek Choi, Seung-Moo Han, Tae-Seong Kim 0001 |
A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification. |
Int. J. Medical Informatics |
2018 |
DBLP DOI BibTeX RDF |
|
14 | Edson Damasceno Carvalho, Antonio Oseas de Carvalho Filho, Alcilene Dalília de Sousa, Aristófanes Corrêa Silva, Marcelo Gattass |
Method of differentiation of benign and malignant masses in digital mammograms using texture analysis based on phylogenetic diversity. |
Comput. Electr. Eng. |
2018 |
DBLP DOI BibTeX RDF |
|
14 | Rongbo Shen, Kezhou Yan, Fen Xiao, Jia Chang, Cheng Jiang 0001, Ke Zhou 0001 |
Automatic Pectoral Muscle Region Segmentation in Mammograms Using Genetic Algorithm and Morphological Selection. |
J. Digit. Imaging |
2018 |
DBLP DOI BibTeX RDF |
|
14 | Hui Sun, Cheng Li 0008, Boqiang Liu, Shanshan Wang 0002 |
AUNet: Breast Mass Segmentation of Whole Mammograms. |
CoRR |
2018 |
DBLP BibTeX RDF |
|
14 | Aupendu Kar, Sri Phani Krishna Karri, Nirmalya Ghosh, Ramanathan Sethuraman, Debdoot Sheet |
Fully Convolutional Model for Variable Bit Length and Lossy High Density Compression of Mammograms. |
CoRR |
2018 |
DBLP BibTeX RDF |
|
14 | Heyi Li, Dongdong Chen 0004, Bill Nailon, Mike E. Davies 0001, Dave Laurenson |
Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-net. |
CoRR |
2018 |
DBLP BibTeX RDF |
|
14 | Vivek Kumar Singh 0008, Hatem A. Rashwan, Santiago Romaní, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Adel Saleh, Meritxell Arenas, Miguel Arquez, Domenec Puig, Jordina Torrents-Barrena |
Breast Mass Segmentation and Shape Classification in Mammograms Using Deep Neural Networks. |
CoRR |
2018 |
DBLP BibTeX RDF |
|
14 | B. V. Divyashree, Amarnath R, Naveen M, G. Hemantha Kumar 0001 |
Novel approach to locate region of interest in mammograms for Breast cancer. |
CoRR |
2018 |
DBLP BibTeX RDF |
|
14 | Tariq Sadad, Asim Munir, Tanzila Saba, Ayyaz Hussain |
Fuzzy C-means and region growing based classification of tumor from mammograms using hybrid texture feature. |
J. Comput. Sci. |
2018 |
DBLP DOI BibTeX RDF |
|
14 | Zobia Suhail, Erika R. E. Denton, Reyer Zwiggelaar |
Classification of micro-calcification in mammograms using scalable linear Fisher discriminant analysis. |
Medical Biol. Eng. Comput. |
2018 |
DBLP DOI BibTeX RDF |
|
14 | Peng Shi, Jing Zhong, Andrik Rampun, Hui Wang 0001 |
A hierarchical pipeline for breast boundary segmentation and calcification detection in mammograms. |
Comput. Biol. Medicine |
2018 |
DBLP DOI BibTeX RDF |
|
14 | Rinku Rabidas, Abhishek Midya, Jayasree Chakraborty |
Neighborhood Structural Similarity Mapping for the Classification of Masses in Mammograms. |
IEEE J. Biomed. Health Informatics |
2018 |
DBLP DOI BibTeX RDF |
|
14 | J. Kamalakannan, M. Rajasekhara Babu |
Classification of breast abnormality using decision tree based on GLCM features in mammograms. |
Int. J. Comput. Aided Eng. Technol. |
2018 |
DBLP DOI BibTeX RDF |
|
14 | João Otávio Bandeira Diniz, Pedro Henrique Bandeira Diniz, Thales Levi Azevedo Valente, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass |
Detection of mass regions in mammograms by bilateral analysis adapted to breast density using similarity indexes and convolutional neural networks. |
Comput. Methods Programs Biomed. |
2018 |
DBLP DOI BibTeX RDF |
|
14 | Wenqing Sun, Tzu-Liang (Bill) Tseng, Wei Qian 0001, Edward C. Saltzstein, Bin Zheng 0001, Hui Yu, Shi Zhou |
A new near-term breast cancer risk prediction scheme based on the quantitative analysis of ipsilateral view mammograms. |
Comput. Methods Programs Biomed. |
2018 |
DBLP DOI BibTeX RDF |
|
14 | Suhas G. Sapate, Abhishek Mahajan, Sanjay N. Talbar, Nilesh Sable, Subhash Desai, Meenakshi Thakur |
Radiomics based detection and characterization of suspicious lesions on full field digital mammograms. |
Comput. Methods Programs Biomed. |
2018 |
DBLP DOI BibTeX RDF |
|
14 | Mohammed A. Al-masni, Mugahed A. Al-antari, Jeong-min Park, Geon Gi, Tae-Yeon Kim, Patricio Rivera, Edwin Valarezo, Mun-Taek Choi, Seung-Moo Han, Tae-Seong Kim 0001 |
Simultaneous Detection and Classification of Breast Masses in Digital Mammograms via a Deep Learning YOLO-based CAD System. |
Comput. Methods Programs Biomed. |
2018 |
DBLP DOI BibTeX RDF |
|
14 | Mohammad Kazem Ebrahimpour, Hamid Mirvaziri, Vahid Sattari Naeini |
Improving breast cancer classification by dimensional reduction on mammograms. |
Comput. methods Biomech. Biomed. Eng. Imaging Vis. |
2018 |
DBLP DOI BibTeX RDF |
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14 | Ashwanth Unni, Nidheep Eg, Saurav Vinod, Lekha S. Nair |
Tumour Detection in Double Threshold Segmented Mammograms Using Optimized GLCM Features fed SVM. |
ICACCI |
2018 |
DBLP DOI BibTeX RDF |
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