Radiomic phenotype features predict pathological response in non-small cell lung cancer-Reference-Cited by-同舟云学术

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Radiomic phenotype features predict pathological response in non-small cell lung cancer

Published:2016-06 Issue:3 Volume:119 Page:480-486
ISSN:0167-8140
Container-title:Radiotherapy and Oncology
language:en
Short-container-title:Radiotherapy and Oncology

Author:

Coroller Thibaud P.,Agrawal Vishesh,Narayan Vivek,Hou Ying,Grossmann Patrick,Lee Stephanie W.,Mak Raymond H.,Aerts Hugo J.W.L.

Publisher

Elsevier BV

Subject

Radiology Nuclear Medicine and imaging,Oncology,Hematology

Reference38 articles.

1. Radiomics: Extracting more information from medical images using advanced feature analysis;Lambin;Eur J Cancer,2012

2. Radiomics: the process and the challenges;Kumar;Magn Reson Imaging,2012

3. Radiomics: images are more than pictures, they are data;Gillies;Radiology,2015

4. Robust radiomics feature quantification using semiautomatic volumetric segmentation;Parmar;PLoS ONE,2014

5. A semiautomatic CT-based ensemble segmentation of lung tumors: comparison with oncologists’ delineations and with the surgical specimen;Rios Velazquez;Radiother Oncol,2012

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