Distinguishing prostate cancer from benign confounders via a cascaded classifier on multi-parametric MRI

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 9035, Issue , 2014, Pages

  Litjens, G J S ^a   Elliott, R ^b   Shih, N ^c   Feldman, M ^c   Barentsz, J O ^a   Van De Kaa, C A Hulsbergen ^a   Kovacs, I ^a   Huisman, H J ^a   Madabhushi, A ^b  

^a RADBOUD UNIVERSITY MEDICAL CENTER   (Netherlands)

^b CASE WESTERN RESERVE UNIVERSITY   (United States)

^c UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

CAD; Cascading classification; Confounders; Feature selection; MRI; Prostate cancer

Indexed keywords

COMPUTER AIDED DESIGN; COMPUTER AIDED DIAGNOSIS; DISEASES; FEATURE EXTRACTION; IMAGE PROCESSING; MEDICAL IMAGING; PATHOLOGY; UROLOGY;

BENIGN PROSTATIC HYPERPLASIA; CONFOUNDERS; DIFFUSION WEIGHTED IMAGING; DYNAMIC CONTRAST-ENHANCED IMAGING; IMAGING CHARACTERISTICS; MATHEMATICAL REPRESENTATIONS; MAXIMUM RELEVANCE MINIMUM REDUNDANCIES; PROSTATE CANCERS;

MAGNETIC RESONANCE IMAGING;

EID: 84902105432     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.2043751     Document Type: Conference Paper

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