
Yucheng Song, Chenxi Li, Kangxu Fan, Lifeng Li, Jia Guo, Muhammad Ayoub, Zhifang Liao, Yitao Zuo
IRBM 2025
We propose AMTH-Net, a novel alternating multi-task hierarchical network for medical image segmentation and classification. The model achieves superior performance on COVID CXR and F BUSI datasets, with Dice coefficients of 98.33% and 96.76% respectively.
Yucheng Song, Chenxi Li, Kangxu Fan, Lifeng Li, Jia Guo, Muhammad Ayoub, Zhifang Liao, Yitao Zuo
IRBM 2025
We propose AMTH-Net, a novel alternating multi-task hierarchical network for medical image segmentation and classification. The model achieves superior performance on COVID CXR and F BUSI datasets, with Dice coefficients of 98.33% and 96.76% respectively.