Inertia
发表于 2025-3-25 03:23:54
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faculty
发表于 2025-3-25 08:58:46
0302-9743 hat are required to be overcomed to translate computational methods to clinical practice through well designed, generalizable (robust), interpretable and clinically transferable methods..978-3-031-17978-5978-3-031-17979-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
扩张
发表于 2025-3-25 14:51:24
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Comprise
发表于 2025-3-25 17:45:28
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小教堂
发表于 2025-3-25 22:21:50
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nominal
发表于 2025-3-26 04:04:14
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安装
发表于 2025-3-26 04:31:25
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恶意
发表于 2025-3-26 11:20:11
Knowledge Distillation with a Class-Aware Loss for Endoscopic Disease Detectiondoscopic disease detection (EDD2020) challenge and Kvasir-SEG datasets. Additionally, we show that using such learning paradigm, our model is generalizable to unseen test set giving higher APs for clinically crucial neoplastic and polyp categories.
工作
发表于 2025-3-26 15:12:17
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RAFF
发表于 2025-3-26 17:09:11
FDE as a Base for Constructive Logic Three other sets of classical features are trained and tested, (1) clinical relevant features gives an AUC of 0.58, (2) 111 radiomics gives an AUC of 0.976, (3) radiologist ground truth (GT) containing the nodule size, attenuation and spiculation qualitative annotations gives an AUC of 0.979. We al