Enhancing AI-Driven Diagnosis of Invasive Ductal Carcinoma with Morphologically Guided and Interpretable Deep Learning
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DOI: 10.3390/app15126883
Abstract: Artificial intelligence is increasingly shaping the landscape of computer-aided diagnosis of breast cancer. Despite incrementally improved accuracy, pathologist supervision remains essential for verified interpretation. While prior research focused on devising deep model architecture, this study… read more here.
Keywords: enhancing driven; invasive ductal; ductal carcinoma; driven diagnosis ... See more keywords