On the feasibility of predicting radiological observations from computational imaging features of liver lesions in CT scans

Proceedings - 2011 1st IEEE International Conference on Healthcare Informatics, Imaging and Systems Biology, HISB 2011

Volumn , Issue , 2011, Pages 346-350

  Gimenez, Francisco ^a   Xu, Jiajing ^b   Liu, Yi ^a   Liu, Tiffany Ting ^a   Beaulieu, Christopher F ^a   Rubin, Daniel L ^a   Napel, Sandy ^a  

^a STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b Stanford University   (United States)

Author keywords

diagnostic imaging; image processing; machine learning; medical image analysis

Indexed keywords

COMPUTATIONAL FEATURES; COMPUTATIONAL IMAGING; CONTROLLED VOCABULARY; CROSS VALIDATION; CT IMAGE; DATA SETS; DIAGNOSTIC IMAGING; EDGE SHARPNESS; IMAGING FEATURES; LEAVE ONE OUT; LINEAR DISCRIMINATIVE ANALYSIS; LIVER CT; LOGISTIC REGRESSIONS; MACHINE-LEARNING; MEDICAL IMAGE ANALYSIS; RADIOLOGY REPORTING; SEMANTIC FEATURES;

FORECASTING; HEALTH CARE; IMAGE PROCESSING; INFORMATION SCIENCE; MEDICAL IMAGING; RADIOLOGY; SEMANTICS;

COMPUTERIZED TOMOGRAPHY;

EID: 81355132450     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HISB.2011.37     Document Type: Conference Paper

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