Search results for "Mammograms"

Hits ?▲	Authors	Title	Venue	Year	Link
14	Payel Pramanik, Souradeep Mukhopadhyay, Seyedali Mirjalili, Ram Sarkar	Deep feature selection using local search embedded social ski-driver optimization algorithm for breast cancer detection in mammograms.	Neural Comput. Appl.	2023	DBLP DOI BibTeX RDF
14	Manal AlAmir, Manal Al Ghamdi, Fernando Collado-Mesa, Mohamed Abdel-Mottaleb	Difference-of-Gaussian generative adversarial network for segmenting breast arterial calcifications in mammograms.	Expert Syst. Appl.	2023	DBLP DOI BibTeX RDF
14	Romesh Laishram, Rinku Rabidas	Optimized hyperbolic tangent function-based contrast-enhanced mammograms for breast mass detection.	Expert Syst. Appl.	2023	DBLP DOI BibTeX RDF
14	Damla Coskun, Dervis Karaboga, Alper Bastürk, Bahriye Akay, Özkan Ufuk Nalbantoglu, Serap Dogan, Ishak Paçal, Meryem Altin Karagöz	A comparative study of YOLO models and a transformer-based YOLOv5 model for mass detection in mammograms.	Turkish J. Electr. Eng. Comput. Sci.	2023	DBLP DOI BibTeX RDF
14	Ramin Ranjbarzadeh, Nazanin Tataei Sarshar, Saeid Jafarzadeh Ghoushchi, Mohammad Saleh Esfahani, Mahboub Parhizkar, Yaghoub Pourasad, Shokofeh Anari, Malika Bendechache	MRFE-CNN: multi-route feature extraction model for breast tumor segmentation in Mammograms using a convolutional neural network.	Ann. Oper. Res.	2023	DBLP DOI BibTeX RDF
14	Jiaming Luo, Yongzhe Tang, Jie Wang, Hongtao Lu	USMLP: U-shaped Sparse-MLP network for mass segmentation in mammograms.	Image Vis. Comput.	2023	DBLP DOI BibTeX RDF
14	Sujata Kulkarni, Rinku Rabidas	SqueezeU-Net-based detection and diagnosis of microcalcification in mammograms.	Signal Image Video Process.	2023	DBLP DOI BibTeX RDF
14	Sonika Dahiya, Anjana Gosain	A novel type-II intuitionistic fuzzy clustering algorithm for mammograms segmentation.	J. Ambient Intell. Humaniz. Comput.	2023	DBLP DOI BibTeX RDF
14	Nasrin Tavakoli, Maryam Karimi, Alireza Norouzi, Nader Karimi, Shadrokh Samavi, S. M. Reza Soroushmehr	Detection of abnormalities in mammograms using deep features.	J. Ambient Intell. Humaniz. Comput.	2023	DBLP DOI BibTeX RDF
14	Amparo S. Betancourt Tarifa, Claudio Marrocco, Mario Molinara, Francesco Tortorella, Alessandro Bria	Transformer-based mass detection in digital mammograms.	J. Ambient Intell. Humaniz. Comput.	2023	DBLP DOI BibTeX RDF
14	Juanita Hernández-López, Juan Humberto Sossa Azuela, Alberto Salvador Núñez Varela, César Augusto Ramírez Gamez, Virginia Canseco González, Francisco Eduardo Martínez Pérez, Sandra Edith Nava-Muñoz, Héctor Gerardo Pérez-González, José Ignacio Nuñez-Varela	A New Fat-Removal-Based Preprocessing Pipeline for MLO View in Digital Mammograms.	IEEE Access	2023	DBLP DOI BibTeX RDF
14	Jyoti Rani, Jaswinder Singh, Jitendra Virmani	Hybrid computer aided diagnostic system designs for screen film mammograms using DL-based feature extraction and ML-based classifiers.	Expert Syst. J. Knowl. Eng.	2023	DBLP DOI BibTeX RDF
14	Yujie Bai, Min Li, Xiaojian Ma, Xiaojing Gan, Cheng Chen, Chen Chen 0078, Xiaoyi Lv, Hongtao Li	Recognizing breast tumors based on mammograms combined with pre-trained neural networks.	Multim. Tools Appl.	2023	DBLP DOI BibTeX RDF
14	Ricardo Wandré Dias Pedro, Ana Luiza Silveira Ferreira, Rodolph Vinicius Siqueira Pessoa, Almir Galvão Vieira Bitencourt, Ariane Machado-Lima, Fátima L. S. Nunes	A Stochastic Grammar Approach to Mass Classification in Mammograms.	IEEE ACM Trans. Comput. Biol. Bioinform.	2023	DBLP DOI BibTeX RDF
14	Xin Wang, Tao Tan, Yuan Gao, Luyi Han, Tianyu Zhang, Chunyao Lu, Regina Beets-Tan, Ruisheng Su, Ritse Mann	DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms using Self-adversarial Learning.	CoRR	2023	DBLP DOI BibTeX RDF
14	Nikita Moriakov, Jim Peters, Ritse Mann, Nico Karssemeijer, Jos van Dijck, Mireille J. M. Broeders, Jonas Teuwen	Improving Lesion Volume Measurements on Digital Mammograms.	CoRR	2023	DBLP DOI BibTeX RDF
14	Jun Bai, Annie Jin, Madison Adams, Clifford Yang, Sheida Nabavi	Unsupversied feature correlation model to predict breast abnormal variation maps in longitudinal mammograms.	CoRR	2023	DBLP DOI BibTeX RDF
14	Shreyasi Pathak, Jörg Schlötterer, Jeroen Geerdink, Onno Dirk Vijlbrief, Maurice van Keulen, Christin Seifert	Weakly Supervised Learning for Breast Cancer Prediction on Mammograms in Realistic Settings.	CoRR	2023	DBLP DOI BibTeX RDF
14	Linh T. Duong, Cong Q. Chu, Phuong T. Nguyen 0001, Son T. Nguyen, Binh Q. Tran	Edge detection and graph neural networks to classify mammograms: A case study with a dataset from Vietnamese patients.	Appl. Soft Comput.	2023	DBLP DOI BibTeX RDF
14	Ayse Aydin Yurdusev, Kemal Adem, Mahmut Hekim	Detection and classification of microcalcifications in mammograms images using difference filter and Yolov4 deep learning model.	Biomed. Signal Process. Control.	2023	DBLP DOI BibTeX RDF
14	Volkan Müjdat Tiryaki	Mass segmentation and classification from film mammograms using cascaded deep transfer learning.	Biomed. Signal Process. Control.	2023	DBLP DOI BibTeX RDF
14	Noor Fadzilah Razali, Iza Sazanita Isa, Siti Noraini Sulaiman, Noor Khairiah A. Karim, Muhammad Khusairi Osman	CNN-Wavelet scattering textural feature fusion for classifying breast tissue in mammograms.	Biomed. Signal Process. Control.	2023	DBLP DOI BibTeX RDF
14	Hao Du 0005, Melissa Min-Szu Yao, Siqi Liu, Liangyu Chen, Wing P. Chan, Mengling Feng	Automatic Calcification Morphology and Distribution Classification for Breast Mammograms With Multi-Task Graph Convolutional Neural Network.	IEEE J. Biomed. Health Informatics	2023	DBLP DOI BibTeX RDF
14	Alessia Gerbasi, Greta Clementi, Fabio Corsi, Sara Albasini, Alberto Malovini, Silvana Quaglini, Riccardo Bellazzi	DeepMiCa: Automatic segmentation and classification of breast MIcroCAlcifications from mammograms.	Comput. Methods Programs Biomed.	2023	DBLP DOI BibTeX RDF
14	Nguyen Hoang Phuong, Ha Manh Toan, Dao Van Tu, Nguyen Khac-Dung, Nguyen Van Thi, Ngo Le Lam, Anh Nguyen 0002	Convolutional Neural Networks Based Classification of Mammograms.	ACR	2023	DBLP DOI BibTeX RDF
14	Jinn-Yi Yeh, Yi-Chen Hou, Yuan-Liang Wang	Breast Cancer Classification on Mammograms Using Extreme Learning Machines.	ICCE-Taiwan	2023	DBLP DOI BibTeX RDF
14	Sjoerd A. M. Tunissen, Andrea Motta, Franziska Mauter, Eloy García 0001, Oliver Díaz, John M. Boone, Ioannis Sechopoulos, Marco Caballo	End-to-end mammographic breast density quantification with deep learning: preliminary study on simulated mammograms.	Medical Imaging: Computer-Aided Diagnosis	2023	DBLP DOI BibTeX RDF
14	Juhun Lee, Robert M. Nishikawa	Developing a breast lesion simulator and remover in mammograms using Cycle-GAN: focusing on its impacts on a computer aided detection algorithm.	Medical Imaging: Computer-Aided Diagnosis	2023	DBLP DOI BibTeX RDF
14	Alfonso Toriz-Vazquez, Luis Alberto Medina-Ramos, Rafael Bayareh-Mancilla, Yazmín Mariela Hernández-Rodríguez, Oscar Eduardo Cigarroa-Mayorga	Detection of Asymmetric Anomalies in Mammograms using Dynamic Time Warping for Early Breast Cancer Identification.	CCE	2023	DBLP DOI BibTeX RDF
14	Xinyu Xiong, Churan Wang, Wenxue Li, Guanbin Li	Mammo-SAM: Adapting Foundation Segment Anything Model for Automatic Breast Mass Segmentation in Whole Mammograms.	MLMI@MICCAI (1)	2023	DBLP DOI BibTeX RDF
14	Kosmia Loizidou, Galateia Skouroumouni, Gabriella Savvidou, Anastasia Constantinidou, Christos Nikolaou, Costas Pitris	Prediction of Near-Term Breast Cancer Occurrence using Subtraction of Temporally Sequential Digital Mammograms.	EMBC	2023	DBLP DOI BibTeX RDF
14	Ehtsham Rasool, Muhammad Junaid Anwar, Bilawal Shaker, Muhammad Harris Hashmi, Khalil ur Rehman, Yousaf Seed	Breast Microcalcification detection in digital mammograms using Deep Transfer learning approaches.	ICCDE	2023	DBLP DOI BibTeX RDF
14	Shubham Arun Gujar, Xiaomeng Lei, Steven Y. Cen, Darryl H. Hwang, Bino A. Varghese	Breast Lesion Classification using Radiomics-derived Regions of Interest on Mammograms.	SIPAIM	2023	DBLP DOI BibTeX RDF
14	Dhanush Jain Mahaveera, Shubham Arun Gujar, Steven Y. Cen, Xiaomeng Lei, Darryl H. Hwang, Bino A. Varghese	Pectoral Muscle Segmentation from Digital Mammograms Using a Transformative Approach.	SIPAIM	2023	DBLP DOI BibTeX RDF
14	Thuong-Cang Phan, Anh-Cang Phan, Thanh-Ngoan Trieu	Breast Cancer Classification on Mammograms Using Vision Transformer.	FDSE	2023	DBLP DOI BibTeX RDF
14	Yumnah Hasan, Aidan Murphy, Meghana Kshirsagar 0002, Conor Ryan	A Convolutional Neural Network Based Patch Classifier Using Mammograms.	ICAART (3)	2023	DBLP DOI BibTeX RDF
14	Renato R. Maaliw, Mukesh Soni, Manuel P. Delos Santos, Maria Rossana D. de Veluz, Pitz Gerald G. Lagrazon, Mariebeth P. Seño, Devie R. Salvatierra-Bello, Reynaldo V. Danganan	AWFCNET: An Attention-Aware Deep Learning Network with Fusion Classifier for Breast Cancer Classification Using Enhanced Mammograms.	AIIoT	2023	DBLP DOI BibTeX RDF
14	Sam B. Tran, Huyen T. X. Nguyen, Chi Phan, Ha Q. Nguyen 0001, Hieu H. Pham 0001	A Novel Transparency Strategy-based Data Augmentation Approach for BI-RADS Classification of Mammograms.	SSP	2023	DBLP DOI BibTeX RDF
14	Sarah Said, Paola Clauser, Nicole V. Ruiter, Pascal A. Baltzer, Torsten Hopp	Image-based registration between full x-ray and spot mammograms: analysis of registration accuracy in subgroups.	Medical Imaging: Image-Guided Procedures	2023	DBLP DOI BibTeX RDF
14	Xin Wang, Tao Tan, Yuan Gao, Luyi Han, Tianyu Zhang, Chunyao Lu, Regina Beets-Tan, Ruisheng Su, Ritse Mann	DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms Using Self-adversarial Learning.	MICCAI (7)	2023	DBLP DOI BibTeX RDF
14	Ioannis N. Tzortzis, Stavros Sykiotis, Ioannis Rallis, Nikolaos Doulamis	An integrated framework for classifying mammograms according to BIRADS scale and breast tissue density.	PETRA	2023	DBLP DOI BibTeX RDF
14	Xuetong Tao, Somphone Siviengphanom, Ziba Gandomkar, Tong Li, Warren M. Reed, Patrick C. Brennan	Investigating the error-making patterns in reading high-density screening mammograms between radiologists from two countries.	Medical Imaging: Image Perception, Observer Performance, and Technology Assessment	2023	DBLP DOI BibTeX RDF
14	Iman Bint Talha, Oanh T. M. Tran, Due T. Ong, Thuy T. Hoang, Tuan A. Khuong, Dennis Wong, Karen Ho, Natacha Borecky, Mary Rickard, Sarah Lewis 0001, Patrick C. Brennan, Phuong Dung Trieu	A progress in diagnostic performances of Vietnamese doctors in reading mammograms with different Level of breast density via the VIETRAD program.	Medical Imaging: Image Perception, Observer Performance, and Technology Assessment	2023	DBLP DOI BibTeX RDF
14	Ziba Gandomkar, Sarah J. Lewis 0001, Somphone Siviengphanom, Dennis Wong, Ernest U. Ekpo, Moayyad E. Suleiman, Xuetong Tao, Warren M. Reed, Patrick C. Brennan	False-negative diagnosis might occur due to absence of the global radiomic signature of malignancy on screening mammograms.	Medical Imaging: Image Perception, Observer Performance, and Technology Assessment	2023	DBLP DOI BibTeX RDF
14	Varun Sunil Salgarkar, Ilavarasi A. K.	Multi-Class Breast Cancer Classification from Digital Mammograms Using Vision Transformers.	IC3	2023	DBLP DOI BibTeX RDF
14	Kosmia Loizidou, Galateia Skouroumouni, Gabriella Savvidou, Anastasia Constantinidou, Christos Nikolaou, Costas Pitris	Classification of Breast Micro-calcifications as Benign or Malignant Using Subtraction of Temporally Sequential Digital Mammograms and Machine Learning.	CAIP (2)	2023	DBLP DOI BibTeX RDF
14	Ricardo Salvador Luna Lozoya, Humberto de Jesús Ochoa Domínguez, Juan Humberto Sossa Azuela, Vianey Guadalupe Cruz Sánchez, Osslan Osiris Vergara-Villegas	Comparison of Deep Learning Architectures in Classification of Microcalcifications Clusters in Digital Mammograms.	MCPR	2023	DBLP DOI BibTeX RDF
14	Jakub Chledowski, Jungkyu Park 0001, Krzysztof J. Geras	Exploring synthesizing 2D mammograms from 3D digital breast tomosynthesis images.	DICTA	2023	DBLP DOI BibTeX RDF
14	Francisco Eduardo Martínez Pérez, César Augusto Ramírez Gamez, Alberto Núñez Varela, Sandra Nava-Muñoz, José Ignacio Nuñez-Varela, Héctor G. Pérez-González, Pedro David Arjona-Villicaña, Francisco Javier Ramírez-Aguilera	Using Reference Points for Detection of Calcifications in Mammograms for Medical Active Systems.	UCAmI (1)	2023	DBLP DOI BibTeX RDF
14	Kexin Sun, Yuelan Xin, Yide Ma, Meng Lou, Yunliang Qi, Jie Zhu	ASU-Net: U-shape adaptive scale network for mass segmentation in mammograms.	J. Intell. Fuzzy Syst.	2022	DBLP DOI BibTeX RDF
14	Rosario Lissiet Romero Coripuna, Delia Irazú Hernández Farías, Blanca Murillo-Ortiz, Teodoro Córdova-Fraga	Electro-impedance mammograms for automatic breast cancer screening: First insights on Mexican patients.	J. Intell. Fuzzy Syst.	2022	DBLP DOI BibTeX RDF
14	Juhun Lee, Robert M. Nishikawa	Identifying Women With Mammographically- Occult Breast Cancer Leveraging GAN-Simulated Mammograms.	IEEE Trans. Medical Imaging	2022	DBLP DOI BibTeX RDF
14	Khaoula Belhaj Soulami, Naima Kaabouch, Mohamed Nabil Saidi	Breast cancer: Three-class masses classification in mammograms using Apriori dynamic selection.	Concurr. Comput. Pract. Exp.	2022	DBLP DOI BibTeX RDF
14		Luminosity Control and Contrast Enhancement of Digital Mammograms Using Combined Application of Adaptive Gamma Correction and DWT-SVD.	J. Sensors	2022	DBLP DOI BibTeX RDF
14	Xiaorong Li, Yunliang Qi, Meng Lou, Wenwei Zhao, Jie Meng, Wenjun Zhang, Yide Ma	Breast density measurement methods on mammograms: a review.	Multim. Syst.	2022	DBLP DOI BibTeX RDF
14	Meng Lou, Yunliang Qi, Xiaorong Li, Chunbo Xu, Wenwei Zhao, Xiangyu Deng, Yide Ma	Aggregated pyramid attention network for mass segmentation in mammograms.	Multim. Tools Appl.	2022	DBLP DOI BibTeX RDF
14	Jianhui Zhao 0001, Tianquan Chen, Bo Cai	A computer-aided diagnostic system for mammograms based on YOLOv3.	Multim. Tools Appl.	2022	DBLP DOI BibTeX RDF
14	L. Kanya Kumari, B. Naga Jagadesh	A Robust Feature Extraction Technique for Breast Cancer Detection using Digital Mammograms based on Advanced GLCM Approach.	EAI Endorsed Trans. Pervasive Health Technol.	2022	DBLP DOI BibTeX RDF
14	Tao Wei, Angelica I. Avilés-Rivero, Shuo Wang 0011, Yuan Huang 0009, Fiona J. Gilbert, Carola-Bibiane Schönlieb, Chang Wen Chen	Beyond fine-tuning: Classifying high resolution mammograms using function-preserving transformations.	Medical Image Anal.	2022	DBLP DOI BibTeX RDF
14	Yane Li, Wei Yuan, Ming Fan 0003, Bin Zheng, Lihua Li 0002	Prediction of Short-Term Breast Cancer Risk with Fusion of CC- and MLO-Based Risk Models in Four-View Mammograms.	J. Digit. Imaging	2022	DBLP DOI BibTeX RDF
14	Gunjan Rajput, Shashank Agrawal, Kunika Naresh Biyani, Santosh Kumar Vishvakarma	Early breast cancer diagnosis using cogent activation function-based deep learning implementation on screened mammograms.	Int. J. Imaging Syst. Technol.	2022	DBLP DOI BibTeX RDF
14	Jayesh George Melekoodappattu, Anto Sahaya Dhas, Binil Kumar K., K. S. Adarsh	Malignancy detection on mammograms by integrating modified convolutional neural network classifier and texture features.	Int. J. Imaging Syst. Technol.	2022	DBLP DOI BibTeX RDF
14	Sam B. Tran, Huyen T. X. Nguyen, Hieu H. Pham 0001, Ha Q. Nguyen 0001	Transparency strategy-based data augmentation for BI-RADS classification of mammograms.	CoRR	2022	DBLP DOI BibTeX RDF
14	Jiwoong Jason Jeong, Brianna L. Vey, Ananth Reddy Bhimireddy, Thomas Kim, Thiago Santos, Ramon Correa, Raman Dutt, Marina Mosunjac, Gabriela Oprea-Ilies, Geoffrey H. Smith, Minjae Woo, Christopher R. McAdams, Mary S. Newell, Imon Banerjee, Judy Gichoya, Hari Trivedi	The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.5M Screening and Diagnostic Mammograms.	CoRR	2022	DBLP BibTeX RDF
14	Xuxin Chen, Ke Zhang, Neman Abdoli, Patrik W. Gilley, Ximin Wang, Hong Liu 0003, Bin Zheng 0001, Yuchen Qiu	Transformers Improve Breast Cancer Diagnosis from Unregistered Multi-View Mammograms.	CoRR	2022	DBLP DOI BibTeX RDF
14	Marawan Elbatel	Mammograms Classification: A Review.	CoRR	2022	DBLP DOI BibTeX RDF
14	Adarsh Sehgal, Muskan Sehgal, Hung Manh La, George Bebis	Deep Learning Hyperparameter Optimization for Breast Mass Detection in Mammograms.	CoRR	2022	DBLP DOI BibTeX RDF
14	Lidia Garrucho, Kaisar Kushibar, Richard Osuala, Oliver Díaz, Alessandro Catanese, Javier del Riego, Maciej Bobowicz, Fredrik Strand, Laura Igual, Karim Lekadir	High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection.	CoRR	2022	DBLP DOI BibTeX RDF
14	S. R. Sannasi Chakravarthy, Harikumar Rajaguru	Performance analysis of ensemble classifiers and a two-level classifier in the classification of severity in digital mammograms.	Soft Comput.	2022	DBLP DOI BibTeX RDF
14	B. V. Divyashree, Amarnath R, Naveen M, G. Hemantha Kumar 0001	Segmentation of Pectoral Muscle in Mammograms Using Granular Computing.	J. Inf. Technol. Res.	2022	DBLP DOI BibTeX RDF
14	Parita Rajiv Oza, Paawan Sharma, Samir Patel	Transfer Learning Assisted Classification of Artefacts Removed and Contrast Improved Digital Mammograms.	Scalable Comput. Pract. Exp.	2022	DBLP BibTeX RDF
14	Parita Rajiv Oza, Paawan Sharma, Samir Patel	A Transfer Representation Learning Approach for Breast Cancer Diagnosis from Mammograms using EfficientNet Models.	Scalable Comput. Pract. Exp.	2022	DBLP BibTeX RDF
14	Chunbo Xu, Yunliang Qi, Yiming Wang, Meng Lou, Jiande Pi, Yide Ma	ARF-Net: An Adaptive Receptive Field Network for breast mass segmentation in whole mammograms and ultrasound images.	Biomed. Signal Process. Control.	2022	DBLP DOI BibTeX RDF
14	Abhinav Kumar, Pradeep Kumar, Subodh Srivastava	A skewness reformed complex diffusion based unsharp masking for the restoration and enhancement of Poisson noise corrupted mammograms.	Biomed. Signal Process. Control.	2022	DBLP DOI BibTeX RDF
14	Hamed Pezeshki	Breast tumor segmentation in digital mammograms using spiculated regions.	Biomed. Signal Process. Control.	2022	DBLP DOI BibTeX RDF
14	Khaoula Belhaj Soulami, Naima Kaabouch, Mohamed Nabil Saidi	Breast cancer: Classification of suspicious regions in digital mammograms based on capsule network.	Biomed. Signal Process. Control.	2022	DBLP DOI BibTeX RDF
14	Dmitrii Tumakov, Zufar Kayumov, Alisher Zhumaniezov, Dmitry Chikrin, Diaz Galimyanov	Elimination of Defects in Mammograms Caused by a Malfunction of the Device Matrix.	J. Imaging	2022	DBLP DOI BibTeX RDF
14	Nagwan M. Abdel Samee, Amel Ali Alhussan, Vidan Fathi Ghoneim, Ghada Atteia, Reem Alkanhel, Mugahed A. Al-antari, Yasser M. Kadah	A Hybrid Deep Transfer Learning of CNN-Based LR-PCA for Breast Lesion Diagnosis via Medical Breast Mammograms.	Sensors	2022	DBLP DOI BibTeX RDF
14	Asma Baccouche, Begonya Garcia-Zapirain, Yufeng Zheng, Adel Said Elmaghraby	Early detection and classification of abnormality in prior mammograms using image-to-image translation and YOLO techniques.	Comput. Methods Programs Biomed.	2022	DBLP DOI BibTeX RDF
14	Yongye Su, Qian Liu, Wentao Xie, Pingzhao Hu	YOLO-LOGO: A transformer-based YOLO segmentation model for breast mass detection and segmentation in digital mammograms.	Comput. Methods Programs Biomed.	2022	DBLP DOI BibTeX RDF
14	Jingyu Hu, Zhiqin Liu, Qingfeng Wang	Breast Density Segmentation in Mammograms Based on Dual Attention Mechanism.	ISAIMS	2022	DBLP DOI BibTeX RDF
14	Juhun Lee, Robert M. Nishikawa	Analyzing GAN artifacts for simulating mammograms: application towards finding mammographically-occult cancer.	Medical Imaging: Computer-Aided Diagnosis	2022	DBLP DOI BibTeX RDF
14	Chisako Muramatsu, Mikinao Oiwa, Tomonori Kawasaki, Hiroshi Fujita 0001	Intrinsic subtype classification of breast lesions on mammograms by contrastive learning.	Medical Imaging: Computer-Aided Diagnosis	2022	DBLP DOI BibTeX RDF
14	Yen Nhi Truong Vu, Brent Mombourquette, Thomas Paul Matthews, Jason Su, Sadanand Singh	WRDet: a breast cancer detector for full-field digital mammograms.	Medical Imaging: Computer-Aided Diagnosis	2022	DBLP DOI BibTeX RDF
14	Amir El-Ghoussani, Dalia Rodríguez-Salas, Mathias Seuret, Andreas K. Maier	GAN-based Augmentation of Mammograms to Improve Breast Lesion Detection.	Bildverarbeitung für die Medizin	2022	DBLP DOI BibTeX RDF
14	Adarsh Sehgal, Muskan Sehgal, Hung Manh La, George Bebis	Deep Learning Hyperparameter Optimization for Breast Mass Detection in Mammograms.	ISVC (2)	2022	DBLP DOI BibTeX RDF
14	Huyen T. X. Nguyen, Sam B. Tran, Dung B. Nguyen, Hieu H. Pham 0001, Ha Q. Nguyen 0001	A novel multi-view deep learning approach for BI-RADS and density assessment of mammograms.	EMBC	2022	DBLP DOI BibTeX RDF
14	Rajasree P. M, Anand Jatti, Divya Santosh, Usha Desai, Veena Divya Krishnappa	Breast Masses Detection and Segmentation in Full-Field Digital Mammograms using Unified Convolution Neural Network.	EMBC	2022	DBLP DOI BibTeX RDF
14	Kosmia Loizidou, Galateia Skouroumouni, Gabriella Savvidou, Anastasia Constantinidou, Christos Nikolaou, Costas Pitris	Identification and Classification of Benign and Malignant Masses based on Subtraction of Temporally Sequential Digital Mammograms.	EMBC	2022	DBLP DOI BibTeX RDF
14	Kosmia Loizidou, Galateia Skouroumouni, Gabriella Savvidou, Anastasia Constantinidou, Christos Nikolaou, Costas Pitris	Benign and Malignant Breast Mass Detection and Classification in Digital Mammography: The Effect of Subtracting Temporally Consecutive Mammograms.	BHI	2022	DBLP DOI BibTeX RDF
14	Jun Huang 0005, He Xiao, Qingfeng Wang, Zhiqin Liu, Bo Chen, Yaobin Wang, Ping Zhang, Ying Zhou	Local-Whole-Focus: Identifying Breast Masses and Calcified Clusters on Full-Size Mammograms.	BIBM	2022	DBLP DOI BibTeX RDF
14	Sarah Said, Paola Clauser, Nicole V. Ruiter, Pascal A. Baltzer, Torsten Hopp	Image based registration between full x-ray and spot mammograms for x-ray guided stereotactic breast biopsy.	Medical Imaging: Image-Guided Procedures	2022	DBLP DOI BibTeX RDF
14	Wing Lam Chiu, Tong Li, Sarah J. Lewis 0001	Diagnostic efficacy in screening mammograms does not improve with peer reading strategy: a Sino-Australian study.	Medical Imaging: Image Perception, Observer Performance, and Technology Assessment	2022	DBLP DOI BibTeX RDF
14	Madalina Dicu, Laura Diosan, Anca Andreica, Camelia Chira, Alin Cordos	The Impact of Convolutional Neural Network Parameters in the Binary Classification of Mammograms.	SYNASC	2022	DBLP DOI BibTeX RDF
14	Marwa Salhi, Riadh Ksantini, Belhassen Zouari	Detection of Breast Masses in Mammograms by Incremental Discriminant Based Support Vector Machine Classifier and Active User Involvement.	ICCCI (CCIS Volume)	2022	DBLP DOI BibTeX RDF
14	Francesca Angelone, Carlo Ricciardi, Gianluca Gatta, Mario Sansone, Alfonso Maria Ponsiglione, Maria Paola Belfiore, Francesco Amato 0001, Roberto Grassi	Breast Density Analysis on Mammograms: Application of Machine Learning with Textural Features.	MetroXRAINE	2022	DBLP DOI BibTeX RDF
14	S. Ruban, M. M. Jabeer, Ram Shenoy Besti	Detection of Breast Tumor in Mammograms Using Single Shot Detector Algorithm.	ICACDS (2)	2022	DBLP DOI BibTeX RDF
14	Nasibeh Saffari Tabalvandani	Analyzing the breast tissue in mammograms using deep learning.		2022	RDF
14	Bartosz Swiderski, Lukasz Gielata, Pawel Olszewski, Stanislaw Osowski, Marcin Kolodziej	Deep neural system for supporting tumor recognition of mammograms using modified GAN.	Expert Syst. Appl.	2021	DBLP DOI BibTeX RDF
14	Baljinder Singh, Ramandeep Kaur, Amandeep Kaur, Gagandeep Jagdev	Discoursing Novel Procedure for Segmentation and Classification of Mammograms.	SN Comput. Sci.	2021	DBLP DOI BibTeX RDF