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Classification of Diabetic Rat Histopathology Images Using Convolutional Neural Networks
2020
International Journal of Computational Intelligence Systems
Diabetes mellitus is a common disease worldwide. In progressive diabetes patients, deterioration of kidney histology tissue begins. Currently, the histopathologic examination of kidney tissue samples has been performed manually by pathologists. This examination process is time-consuming and requires pathologists' expertise. Thus, automatic detection methods are crucial for early detection and also treatment planning. Computer-aided diagnostic systems based on deep learning show high success
doi:10.2991/ijcis.d.201110.001
fatcat:2cqvbricx5gg7f5qkuszqrokwi