Lung tumor segmentation methods: Impact on the uncertainty of radiomics features for non-small cell lung cancer.

Constance A OwensChristine B PetersonChad TangEugene J KoayWen YuDennis M MackinJing LiMohammad R SalehpourDavid T FuentesLaurence E CourtJinzhong Yang

Published in: PloS one (2018)

Radiomics features extracted from LSTK contours were highly reliable across and among observers. With semi-automatic segmentation tools, observers without formal clinical training were comparable to physicians in evaluating tumor segmentation.

Keyphrases

deep learning
convolutional neural network
lymph node metastasis
primary care
machine learning
contrast enhanced
virtual reality