An Instance Segmentation Model Based on Deep Learning for Intelligent Diagnosis of Uterine Myomas in MRI

An Instance Segmentation Model Based on Deep Learning for Intelligent Diagnosis of Uterine Myomas in MRI

Uterine myomas affect 70% of women of reproductive age, potentially impacting their fertility and health. Manual film reading is commonly used to identify uterine myomas, but it is time-consuming, laborious, and subjective. Clinical treatment requires the consideration of the positional relationship...

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Bibliographic Details
Main Authors: Haixia Pan, Meng Zhang, Wenpei Bai, Bin Li, Hongqiang Wang, Haotian Geng, Xiaoran Zhao, Dongdong Zhang, Yanan Li, Minghuang Chen
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Diagnostics
Subjects:
deep learning
instance segmentation
uterine myomas
magnetic resonance imaging (MRI)
computer-aided diagnostics
Online Access:https://www.mdpi.com/2075-4418/13/9/1525

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https://www.mdpi.com/2075-4418/13/9/1525

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