Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Yinghou Zeng"'
Autor:
Mengchen Zhang, Yinghou Zeng, Zhuang-nian Fang, Yang-di Wang, Ruo-nan Zhang, Ziyin Ye, Qing-hua Cao, Ren Mao, Canhui Sun, Zhi-hui Chen, Bingsheng Huang, Xue-hua Li
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract Objectives We aimed to develop MRI-based radiomic models (RMs) to improve the diagnostic accuracy of radiologists in characterizing intestinal fibrosis in patients with Crohn’s disease (CD). Methods This retrospective study included patien
Externí odkaz:
https://doaj.org/article/712ed3d7bada4f49b1ff783fdbbe03a4
Autor:
Dan Liang, Yaheng Fan, Yinghou Zeng, Hui Zhou, Hong Zhou, Guangming Li, Yingying Liang, Zhangnan Zhong, Dandan Chen, Amei Chen, Bingsheng Huang, Xinhua Wei
Background Nonoperative management (NOM) of uncomplicated acute appendicitis (AA) has been shown to be feasible; however, the pretreatment prediction of complicated/uncomplicated AA remains challenging. We developed a deep learning and radiomics comb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c7d018be01adffb062726655e01ce6d
https://doi.org/10.21203/rs.3.rs-2286059/v1
https://doi.org/10.21203/rs.3.rs-2286059/v1
Publikováno v:
Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data ISBN: 9783030718268
MICCAI (Challenges)
MICCAI (Challenges)
Ultrasound image plays an important role in the diagnosis of thyroid disease. Accurate segmentation and classification of thyroid nodules are challenging due to their heterogeneous appearance. In this paper, we propose an efficient cascaded segmentat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e578f703f71b302fcc20e99caef9ec7f
https://doi.org/10.1007/978-3-030-71827-5_14
https://doi.org/10.1007/978-3-030-71827-5_14