SAFARI: shape analysis for AI-segmented images

SAFARI: shape analysis for AI-segmented images

Abstract Background Recent developments to segment and characterize the regions of interest (ROI) within medical images have led to promising shape analysis studies. However, the procedures to analyze the ROI are arbitrary and vary by study. A tool to translate the ROI to analyzable shape representa...

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Bibliographic Details
Main Authors: Esteban Fernández, Shengjie Yang, Sy Han Chiou, Chul Moon, Cong Zhang, Bo Yao, Guanghua Xiao, Qiwei Li
Format: Article
Language:English
Published: BMC 2022-07-01
Series:BMC Medical Imaging
Subjects:
Medical imaging
Machine learning
Shape representations
Shape descriptors
Online Access:https://doi.org/10.1186/s12880-022-00849-8

Internet

https://doi.org/10.1186/s12880-022-00849-8

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