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pro vyhledávání: '"Fasihi, Maedeh Sadat"'
Publikováno v:
International Midwest Symposium on Circuits and Systems 1 (2021) 529-532
The performance of image classification methodsheavily relies on the high-quality annotations, which are noteasily affordable, particularly for medical data. To alleviate thislimitation, in this study, we propose a weakly supervised imageclassificati
Externí odkaz:
http://arxiv.org/abs/2106.10889
Autor:
Fasihi, Maedeh Sadat
Publikováno v:
Electronic Theses and Dissertations, 2020-
Automatic medical image diagnosis has gained a great deal of attention in recent years. Early detection of diseases such as cancer, not only increases the survival rate of patients, but also decreases the medical cost and financial burden on both pat