Impact of image preprocessing on the volume dependence and prognostic potential of radiomics features in non-small cell lung cancer

Translational Cancer Research

Volumn 5, Issue 4, 2016, Pages 349-363

  Fave, Xenia ^a,b   Zhang, Lifei ^a   Yang, Jinzhong ^a   Mackin, Dennis ^a   Balter, Peter ^a   Gomez, Daniel ^a   Followill, David ^a   Jones, A Kyle ^a   Stingo, Francesco ^a   Court, Laurence E ^a,b  

^a UNIVERSITY OF TEXAS MD ANDERSON CANCER CENTER   (United States)

^b UNIVERSITY OF TEXAS   (United States)

Author keywords

Computer assisted image interpretation; Cox models; Diagnostic imaging; Non small cell lung cancer; Radiomics

Indexed keywords

ADULT; AGED; ARTICLE; CANCER CHEMOTHERAPY; CANCER PROGNOSIS; CANCER RADIOTHERAPY; CANCER SIZE; CANCER STAGING; FEMALE; FOUR DIMENSIONAL COMPUTED TOMOGRAPHY; HISTOLOGY; HUMAN; IMAGE PROCESSING; LUNG ADENOCARCINOMA; MAJOR CLINICAL STUDY; MALE; NON SMALL CELL LUNG CANCER; SIGNAL NOISE RATIO; SQUAMOUS CELL LUNG CARCINOMA;

EID: 84983350368     PISSN: 2218676X     EISSN: 22196803     Source Type: Journal    
DOI: 10.21037/tcr.2016.07.11     Document Type: Article

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