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

no code implementations • 8 Jan 2024 • Shuge Lei, Haonan Hu, Dasheng Sun, Huabin Zhang, Kehong Yuan, Jian Dai, Jijun Tang, Yan Tong

This paper focuses on the classification task of breast ultrasound images and researches on the reliability measurement of classification results.

Image Classification Uncertainty Quantification

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

no code implementations • 19 Aug 2022 • Shiqiang Ma, Xuejian Li, Jijun Tang, Fei Guo

However, segmentation networks pay too much attention to the main visual difference between foreground and background, and ignores the detailed edge information, which leads to a reduction in the accuracy of edge segmentation.

Image Segmentation Medical Image Segmentation +3

TranSiam: Fusing Multimodal Visual Features Using Transformer for Medical Image Segmentation

no code implementations • 26 Apr 2022 • Xuejian Li, Shiqiang Ma, Jijun Tang, Fei Guo

These differences will affect the results of the automatic segmentation methods.

Image Segmentation Medical Image Segmentation +2

Pretata: predicting TATA binding proteins with novel features and dimensionality reduction strategy

no code implementations • 7 Mar 2017 • Quan Zou, Shixiang Wan, Ying Ju, Jijun Tang, Xiangxiang Zeng

TATA-binding protein (TBP) is a kind of DNA binding protein, which plays a key role in the transcription regulation.

Dimensionality Reduction