A method for detecting ureteral stent encrustations in medical CT images based on Mask-RCNN and 3D morphological analysis

A method for detecting ureteral stent encrustations in medical CT images based on Mask-RCNN and 3D morphological analysis

ObjectiveTo develop and validate a method for detecting ureteral stent encrustations in medical CT images based on Mask-RCNN and 3D morphological analysis.MethodAll 222 cases of ureteral stent data were obtained from the Fifth Affiliated Hospital of Sun Yat-sen University. Firstly, a neural network...

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Bibliographic Details
Main Authors: Hongji Hu, Minbo Yan, Zicheng Liu, Junliang Qiu, Yingbo Dai, Yuxin Tang
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-08-01
Series:Frontiers in Physiology
Subjects:
artificial intelligence
ureteral stent encrustation
medical imaging
neural network
stone detection
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2024.1432121/full

Internet

https://www.frontiersin.org/articles/10.3389/fphys.2024.1432121/full

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