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...

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Bibliographic Details
Main Authors: Zexuan Wang, Qipeng Zhan, Boning Tong, Shu Yang, Bojian Hou, Heng Huang, Andrew J. Saykin, Paul M. Thompson, Christos Davatzikos, Li Shen
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:iScience
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2589004224004334

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