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• The joint segmentation and classification system using deep learning accurately segmented and classified hepatic lesions selected by user clicks in US examination. • The joint segmentation and classification system for hepatic lesions in US images exhibited higher performance than segmentation only and classification only systems. • The joint segmentation and classification system could assist radiologists with minimal experience in US imaging by characterizing hepatic lesions.
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Hwaseong Ryu
Pusan National University Yangsan Hospital
Seung Yeon Shin
Hanyang University
Jae Young Lee
Inha University
European Radiology
National Institutes of Health
Seoul National University
Samsung (South Korea)
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Ryu et al. (Wed,) studied this question.
synapsesocial.com/papers/69dbcccd50e1971baba3cdc1 — DOI: https://doi.org/10.1007/s00330-021-07850-9