image segmentation; lung cancer diagnosis; sputum color image segmentation; automatic segmentation; Hopfield neural network; energy function minimization; cost-term; sum of squared errors; temporary noise; global minimum; accuracy; regions of interest; preclassification technique; sputum cell regions extraction; manual staining method; tested images; database
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