Simultaneous segmentation and classification of 99mTc-DMSA renal scintigraphic images with a deep learning approach

Simultaneous segmentation and classification of 99mTc-DMSA renal scintigraphic images with a deep learning approach

Abstract Background 99mTc-DMSA scan plays an important role in assessing functional abnormalities in kidneys. As a promising network for deep learning (DL), Mask R-CNN has the capability of simultaneously segmenting and classifying objects in images. In this study, we tested the feasibility and accu...

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Bibliographic Details
Main Authors: Jiayi Wang, Mingyan Wu, Xiemei Ruan, Jiaying Zhang, Zhengguo Chen, Yihui Zhai, Hong Xu, Ha Wu, Jeff L. Zhang
Format: Article
Language:English
Published: Springer 2024-10-01
Series:EJNMMI Reports
Subjects:
99mTc-DMSA
Deep learning
Acute pyelonephritis
Image classification
Image segmentation
Online Access:https://doi.org/10.1186/s41824-024-00223-7

Internet

https://doi.org/10.1186/s41824-024-00223-7

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