most citedTumor Detection, Segmentation and Classification Challenge on Automated 3D Breast Ultrasound: The TDSC-ABUS Challenge

2 citations · 2 across the 9 of their papers we have counts for

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eess.IV2025

Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction

Dong Liang, Xingyu Qiu, Yuzhen Li +4

MR imaging techniques are of great benefit to disease diagnosis. However, due to the limitation of MR devices, significant intensity inhomogeneity often exists in imaging results,…

eess.IV2025★ 2 cited

Tumor Detection, Segmentation and Classification Challenge on Automated 3D Breast Ultrasound: The TDSC-ABUS Challenge

Gongning Luo, Mingwang Xu, Hongyu Chen +34

Breast cancer is one of the most common causes of death among women worldwide. Early detection helps in reducing the number of deaths. Automated 3D Breast Ultrasound (ABUS) is a ne…