4 citations · 5 across the 3 of their papers we have counts for
3 papers
eess.IV2023★ 1 cited
BAAF: A benchmark attention adaptive framework for medical ultrasound image segmentation tasks
Gongping Chen, Lei Zhao, Xiaotao Yin +4
The AI-based assisted diagnosis programs have been widely investigated on medical ultrasound images. Complex scenario of ultrasound image, in which the coupled interference of inte…
eess.IV2022★ 4 cited
ESKNet-An enhanced adaptive selection kernel convolution for breast tumors segmentation
Gongping Chen, Lu Zhou, Jianxun Zhang +3
Breast cancer is one of the common cancers that endanger the health of women globally. Accurate target lesion segmentation is essential for early clinical intervention and postoper…
eess.IV2022
BAGNet: Bidirectional Aware Guidance Network for Malignant Breast lesions Segmentation
Gongping Chen, Yuming Liu, Yu Dai +3
Breast lesions segmentation is an important step of computer-aided diagnosis system, and it has attracted much attention. However, accurate segmentation of malignant breast lesions…