Classification of clinical significance of MRI prostate findings using 3D convolutional neural networks

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 10134, Issue , 2017, Pages

  Mehrtash, Alireza ^a,b   Sedghi, Alireza ^c   Ghafoorian, Mohsen ^a,d   Taghipour, Mehdi ^a   Tempany, Clare M ^a   Wells, William M ^a   Kapur, Tina ^a   Mousavi, Parvin ^c   Abolmaesumi, Purang ^b   Fedorov, Andriy ^a  

^a BRIGHAM AND WOMEN S HOSPITAL   (United States)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^c QUEEN S UNIVERSITY   (Canada)

^d RADBOUD UNIVERSITY MEDICAL CENTER   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER AIDED ANALYSIS; CONVOLUTION; DECISION SUPPORT SYSTEMS; DIAGNOSIS; DISEASES; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; NEURAL NETWORKS; UROLOGY;

CANCER MORTALITY; CLINICAL DECISION SUPPORT SYSTEMS; COMPUTERAIDED DIAGNOSES (CADX); CONVOLUTION NEURAL NETWORK; CONVOLUTIONAL NEURAL NETWORK; PROSTATE CANCERS; PROSTATE TISSUE; RECEIVER OPERATING CHARACTERISTIC CURVES;

COMPUTER AIDED DIAGNOSIS;

EID: 85020291927     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.2277123     Document Type: Conference Paper

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