Tag Archives: Feature
Interpretable Spiculation Quantification for Lung Cancer Screening
UKC2018 Aug 4, 2018 MSKCC Postdoctoral Research Symposium Sep 28, 2018 Interpretable Spiculation Quantification for Lung Cancer Screening. https://t.co/QucUlu2QVE pic.twitter.com/FaOukTeIPJ — arxiv (@arxiv_org) August 29, 2018 Presented at MICCAI ShapeMI Workshop https://shapemi.github.io/program/
Robust Normal Lung CT Texture Features for the Prediction of Radiation-Induced Lung Disease
2017 ASTRO annual meeting http://www.redjournal.org/article/S0360-3016(17)31540-7/fulltext
Aggressive Lung Adenocarcinoma Subtype Prediction Using FDG-PET/CT Radiomics
This paper has been published in the Computational and Structural Biotechnology Journal. Preoperative 18F-FDG PET/CT and CT radiomics for identifying aggressive histopathological subtypes in early stage lung adenocarcinoma Wookjin Choi a d1, Chia-Ju Liu b 1, Sadegh Riyahi Alam a, Jung Hun Oh a, Raj Vaghjiani c, John Humm a, Wolfgang Weber b, Prasad S.Continue reading “Aggressive Lung Adenocarcinoma Subtype Prediction Using FDG-PET/CT Radiomics”
