The architecture allows for the possibility of enhancing the accuracy of segmentation, with special reference to discrimination between the malignant and the benign lesions, wherein the precision in the details at the pixel level is quite significant.
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A multi stage deep learning model for accurate segmentation and classification of breast lesions in mammography.
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