Automated segmentation of colorectal liver metastasis and liver ablation on contrast-enhanced CT images

Automated segmentation of colorectal liver metastasis and liver ablation on contrast-enhanced CT images

ObjectivesColorectal cancer (CRC), the third most common cancer in the USA, is a leading cause of cancer-related death worldwide. Up to 60% of patients develop liver metastasis (CRLM). Treatments like radiation and ablation therapies require disease segmentation for planning and therapy delivery. Fo...

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Bibliographic Details
Main Authors: Brian M. Anderson, Bastien Rigaud, Yuan-Mao Lin, A. Kyle Jones, HynSeon Christine Kang, Bruno C. Odisio, Kristy K. Brock
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-08-01
Series:Frontiers in Oncology
Subjects:
deep-learning
liver cancer
percutaneous ablation
computed tomography
biomechanical modeling
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.886517/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2022.886517/full

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