Distance-weighted Sinkhorn loss for Alzheimer’s disease classification
Summary: Traditional loss functions such as cross-entropy loss often quantify the penalty for each mis-classified training sample without adequately considering its distance from the ground truth class distribution in the feature space. Intuitively, the larger this distance is, the higher the penalt...
Main Authors: | Zexuan Wang, Qipeng Zhan, Boning Tong, Shu Yang, Bojian Hou, Heng Huang, Andrew J. Saykin, Paul M. Thompson, Christos Davatzikos, Li Shen |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2024-03-01
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Series: | iScience |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2589004224004334 |
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