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Deep learning assisted detection and segmentation of uterine fibroids using multi-orientation magnetic resonance imaging


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Authors: Xin-Yu Liu, Zhi-Lin Yuan, Fu-Ze Cong, Li Mao, Xiu-Li Li, Zhen Zhou, Jing Ren, Yuan Li, Yan Zhang, Yong-Lan He, Hua-Dan Xue, Zheng-Yu Jin
Journal: Abdominal Radiology
Publisher: Springer Science and Business Media LLC
Published: 2025-4-5
DOI: 10.1007/s00261-025-04934-8

Abstract

Purpose: This scholarly document has been indexed and made openly accessible. It explores critical insights, methodologies, and findings relevant to researchers and academics.

Design/Methodology/Approach: A rigorous methodological approach was applied to examine core aspects of this subject matter.

Findings: The research yields valuable contributions and highlights key implications for future exploration.

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Deep learning assisted detection and segmentation of uterine fibroids using multi-orientation magnetic resonance imaging

Document Information Authors: Xin-Yu Liu, Zhi-Lin Yuan, Fu-Ze Cong, Li Mao, Xiu-Li Li, Zhen Zhou, Jing Ren, Yuan Li, Ya...

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