Comparable Performance of Deep Learning–Based to Manual-Based Tumor Segmentation in KRAS/NRAS/BRAF Mutation Prediction With MR-Based Radiomics in Rectal Cancer

Comparable Performance of Deep Learning–Based to Manual-Based Tumor Segmentation in KRAS/NRAS/BRAF Mutation Prediction With MR-Based Radiomics in Rectal Cancer

Radiomic features extracted from segmented tumor regions have shown great power in gene mutation prediction, while deep learning–based (DL-based) segmentation helps to address the inherent limitations of manual segmentation. We therefore investigated whether deep learning–based segmentation is feasi...

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Bibliographic Details
Main Authors: Guangwen Zhang, Lei Chen, Aie Liu, Xianpan Pan, Jun Shu, Ye Han, Yi Huan, Jinsong Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-07-01
Series:Frontiers in Oncology
Subjects:
rectal cancer
deep learning
radiomics
magnetic resonance imaging
gene mutation
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.696706/full

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https://www.frontiersin.org/articles/10.3389/fonc.2021.696706/full

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