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20182022
most citedAAU-net: An Adaptive Attention U-net for Breast Lesions Segmentation in Ultrasound Images

384 citations · 651 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★ 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…