A Unified Approach Addressing Class Imbalance in Magnetic Resonance Image for Deep Learning Models

A Unified Approach Addressing Class Imbalance in Magnetic Resonance Image for Deep Learning Models

Medical image datasets, particularly those comprising Magnetic Resonance (MR) images, are essential for accurate diagnosis and treatment planning. However, these datasets often suffer from class imbalance, where certain classes of abnormalities have unequal representation. Models trained on imbalanc...

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Bibliographic Details
Main Authors: Lijuan Cui, Dengao Li, Xiaofeng Yang, Chao Liu, Xiaoting Yan
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Class imbalance
medical image analysis
diagnostic accuracy
MRI images
deep learningmodel
Online Access:https://ieeexplore.ieee.org/document/10433506/

Internet

https://ieeexplore.ieee.org/document/10433506/

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