384 citations · 651 across the 5 of their papers we have counts for
5 papers
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…
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…
Random Style Transfer based Domain Generalization Networks Integrating Shape and Spatial Information
Lei Li, Veronika A. Zimmer, Wangbin Ding +4
Deep learning (DL)-based models have demonstrated good performance in medical image segmentation. However, the models trained on a known dataset often fail when performed on an uns…
Active Sentence Learning by Adversarial Uncertainty Sampling in Discrete Space
Dongyu Ru, Jiangtao Feng, Lin Qiu +5
Active learning for sentence understanding aims at discovering informative unlabeled data for annotation and therefore reducing the demand for labeled data. We argue that the typic…
Dense People Counting Using IR-UWB Radar with a Hybrid Feature Extraction Method
Xiuzhu Yang, Wenfeng Yin, Lei Li +1
People counting is one of the hottest issues in sensing applications. The impulse radio ultra-wideband (IR-UWB) radar has been extensively applied to count people, providing a devi…