Interobserver Variability Prediction of Primary Gross Tumor in a Patient with Non-Small Cell Lung Cancer

Interobserver Variability Prediction of Primary Gross Tumor in a Patient with Non-Small Cell Lung Cancer

This research addresses the problem of interobserver variability (IOV), in which different oncologists manually delineate varying primary gross tumor volume (pGTV) contours, adding risk to targeted radiation treatments. Thus, a method of IOV reduction is urgently needed. Hypothesizing that the radia...

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Bibliographic Details
Main Authors: Wonjoong Cheon, Seonghoon Jeong, Jong Hwi Jeong, Young Kyung Lim, Dongho Shin, Se Byeong Lee, Doo Yeul Lee, Sung Uk Lee, Yang Gun Suh, Sung Ho Moon, Tae Hyun Kim, Haksoo Kim
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Cancers
Subjects:
interobserver variability
deep learning
convolutional neural network
fuzzy set theory
Online Access:https://www.mdpi.com/2072-6694/14/23/5893

Internet

https://www.mdpi.com/2072-6694/14/23/5893

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