anatomical plane identification 1anomaly detection 1multi-instance learning 1prenatal ultrasound 1weakly supervised learning 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.CV2026
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…
cs.CV2026
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…
cs.CV2025
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…