A computer-aided determining method for the myometrial infiltration depth of early endometrial cancer on MRI images

A computer-aided determining method for the myometrial infiltration depth of early endometrial cancer on MRI images

Abstract To classify early endometrial cancer (EC) on sagittal T2-weighted images (T2WI) by determining the depth of myometrial infiltration (MI) using a computer-aided diagnosis (CAD) method based on a multi-stage deep learning (DL) model. This study retrospectively investigated 154 patients with p...

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Bibliographic Details
Main Authors: Liu Xiong, Chunxia Chen, Yongping Lin, Wei Mao, Zhiyu Song
Format: Article
Language:English
Published: BMC 2023-10-01
Series:BioMedical Engineering OnLine
Subjects:
Computer-aided diagnosis
Deep learning
Magnetic resonance imaging
Uterine cavity line
Online Access:https://doi.org/10.1186/s12938-023-01169-w

Internet

https://doi.org/10.1186/s12938-023-01169-w

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