most citedEAA-Net: Rethinking the Autoencoder Architecture with Intra-class Features for Medical Image Segmentation

3 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2024

Dual-Channel Reliable Breast Ultrasound Image Classification Based on Explainable Attribution and Uncertainty Quantification

Shuge Lei, Haonan Hu, Dasheng Sun +5

This paper focuses on the classification task of breast ultrasound images and researches on the reliability measurement of classification results. We proposed a dual-channel evalua…

cs.CV2022★ 3 cited

EAA-Net: Rethinking the Autoencoder Architecture with Intra-class Features for Medical Image Segmentation

Shiqiang Ma, Xuejian Li, Jijun Tang +1

Automatic image segmentation technology is critical to the visual analysis. The autoencoder architecture has satisfying performance in various image segmentation tasks. However, au…