2020
DOI: 10.21203/rs.2.22897/v1
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A pilot exploratory study of the potentials of deep learning methods in cancer image segmentation and classification

Abstract: Background Tumor classification and feature quantification from H&E histology images are critical tasks for cancer diagnosis, cancer research, and treatment. However, both tasks involve tedious and time-consuming manual examination of histology images. We explored the usage of deep learning methods in segmentation and classification of histology images of cancer tissue for their potential in computer-aided tumor diagnosis and other clinical and research applications. Specifically, we evaluated performance … Show more

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