output
20182025
most citedCMU-Net: A Strong ConvMixer-based Medical Ultrasound Image Segmentation Network

137 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing eess.IVShow all

2 papers · 1 filter

eess.IV2025★ 3 cited

CT Radiomics-Based Explainable Machine Learning Model for Accurate Differentiation of Malignant and Benign Endometrial Tumors: A Two-Center Study

Tingrui Zhang, Honglin Wu, Zekun Jiang +9

Aimed to develop and validate a CT radiomics-based explainable machine learning model for precise diagnosing malignancy and benignity specifically in endometrial cancer (EC) patien…

eess.IV2022★ 137 cited

CMU-Net: A Strong ConvMixer-based Medical Ultrasound Image Segmentation Network

Fenghe Tang, Lingtao Wang, Chunping Ning +2

U-Net and its extensions have achieved great success in medical image segmentation. However, due to the inherent local characteristics of ordinary convolution operations, U-Net enc…