From the 1 of 5 linked papers with an AI index.
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Rethinking Medical Landmark Localization with Prototype Learning-based Progressive Offset Correction
Jingxian Xu, Yuhao Huang, Rusi Chen +2
Accurate landmark localization in medical images is a fundamental step for quantitative clinical measurement and downstream analysis. Existing localization methods have advanced, a…
AnomExpert: Identifying and Selecting Anatomical Planes for Prenatal Ultrasound Anomaly Diagnosis
Jian Wang, Yang Yang, Ziheng Pan +4
The paper introduces AnomExpert, a framework that learns to identify anatomical planes and select disease-relevant planes in prenatal ultrasound images using only case-level labels…
Mamba-3D as Masked Autoencoders for Accurate and Data-Efficient Analysis of Medical Ultrasound Videos
Jiaheng Zhou, Yanfeng Zhou, Wei Fang +3
Ultrasound videos are an important form of clinical imaging data, and deep learning-based automated analysis can improve diagnostic accuracy and clinical efficiency. However, the s…
XNet v2: Fewer Limitations, Better Results and Greater Universality
Yanfeng Zhou, Lingrui Li, Zichen Wang +3
XNet introduces a wavelet-based X-shaped unified architecture for fully- and semi-supervised biomedical segmentation. So far, however, XNet still faces the limitations, including p…