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A multi-stage semi-supervised learning for ankle fracture classification on CT images
April 1, 2024, 4:45 a.m. | Hongzhi Liu, Guicheng Li, Jiacheng Nie, Hui Tang, Chunfeng Yang, Qianjin Feng, Hailin Xu, Yang Chen
cs.CV updates on arXiv.org arxiv.org
Abstract: Because of the complicated mechanism of ankle injury, it is very difficult to diagnose ankle fracture in clinic. In order to simplify the process of fracture diagnosis, an automatic diagnosis model of ankle fracture was proposed. Firstly, a tibia-fibula segmentation network is proposed for the joint tibiofibular region of the ankle joint, and the corresponding segmentation dataset is established on the basis of fracture data. Secondly, the image registration method is used to register the …
abstract arxiv classification cs.cv diagnosis eess.iv images network process segmentation semi-supervised semi-supervised learning stage supervised learning type
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