A Classification-Based Adaptive Segmentation Pipeline: Feasibility Study Using Polycystic Liver Disease and Metastases from Colorectal Cancer CT Images.

Automated segmentation tools often encounter accuracy and adaptability issues when applied to images of different pathology. The purpose of this study is to explore the feasibility of building a workflow to efficiently route images to specifically trained segmentation models. By implementing a deep...

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Bibliographic Details

Published in:	Journal of Digital Imaging Vol. 37; no. 5; pp. 2186 - 2195
Main Authors:	Wang, Peilong, Kline, Timothy L., Missert, Andrew D., Cook, Cole J., Callstrom, Matthew R., Chan, Alex, Hartman, Robert P., Kelm, Zachary S., Korfiatis, Panagiotis
Format:	diagnostic images research tables/charts Journal Article
Published:	Springer Nature Oct2024
Online Access:	View this record in EBSCOhost