384 citations · 577 across the 5 of their papers we have counts for
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eess.IV2022★ 192 cited
Rethinking the Unpretentious U-net for Medical Ultrasound Image Segmentation
Gongping Chen, Lei Li, JianXun Zhang +1
Breast tumor segmentation is one of the key steps that helps us characterize and localize tumor regions. However, variable tumor morphology, blurred boundary, and similar intensity…
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…
eess.IV2022★ 384 cited
AAU-net: An Adaptive Attention U-net for Breast Lesions Segmentation in Ultrasound Images
Gongping Chen, Yu Dai, Jianxun Zhang +1
Various deep learning methods have been proposed to segment breast lesion from ultrasound images. However, similar intensity distributions, variable tumor morphology and blurred bo…