Semi-Supervised and Class-Imbalanced Open Set Medical Image Recognition

Semi-Supervised and Class-Imbalanced Open Set Medical Image Recognition

Open set recognition (OSR) for medical images is vital to ensure practical safeguards in clinical applications. It demands establishing model awareness of rare and unknown conditions, rejecting what the model does not know, and thus preventing these conditions from being dangerously misclassified in...

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Bibliographic Details
Main Authors: Yiqian Xu, Ruofan Wang, Rui-Wei Zhao, Xingxing Xiao, Rui Feng
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Open set recognition
class imbalance
semi-supervised
medical image analysis
Online Access:https://ieeexplore.ieee.org/document/10634167/

Internet

https://ieeexplore.ieee.org/document/10634167/

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