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pro vyhledávání: '"Chokuwa, Sharon"'
Autor:
Chokuwa, Sharon, Khan, Muhammad Haris
Diabetic Retinopathy (DR) constitutes 5% of global blindness cases. While numerous deep learning approaches have sought to enhance traditional DR grading methods, they often falter when confronted with new out-of-distribution data thereby impeding th
Externí odkaz:
http://arxiv.org/abs/2411.02614
Autor:
Chokuwa, Sharon, Khan, Muhammad H.
Domain generalization for Diabetic Retinopathy (DR) classification allows a model to adeptly classify retinal images from previously unseen domains with various imaging conditions and patient demographics, thereby enhancing its applicability in a wid
Externí odkaz:
http://arxiv.org/abs/2309.11301
The domain shift between training and testing data presents a significant challenge for training generalizable deep learning models. As a consequence, the performance of models trained with the independent and identically distributed (i.i.d) assumpti
Externí odkaz:
http://arxiv.org/abs/2309.09670
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