Three-Dimensional Measurement of the Uterus on Magnetic Resonance Images: Development and Performance Analysis of an Automated Deep-Learning Tool

Three-Dimensional Measurement of the Uterus on Magnetic Resonance Images: Development and Performance Analysis of an Automated Deep-Learning Tool

Uterus measurements are useful for assessing both the treatment and follow-ups of gynaecological patients. The aim of our study was to develop a deep learning (DL) tool for fully automated measurement of the three-dimensional size of the uterus on magnetic resonance imaging (MRI). In this single-cen...

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Bibliographic Details
Main Authors: Daphné Mulliez, Edouard Poncelet, Laurie Ferret, Christine Hoeffel, Blandine Hamet, Lan Anh Dang, Nicolas Laurent, Guillaume Ramette
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Diagnostics
Subjects:
deep learning
convolutional neural network
artificial intelligence
uterus
measurement
MRI
Online Access:https://www.mdpi.com/2075-4418/13/16/2662

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