3D deep learning for multi-modal imaging-guided survival time prediction of brain tumor patients

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 9901 LNCS, Issue , 2016, Pages 212-220

  Nie, Dong ^a,b   Zhang, Han ^a   Adeli, Ehsan ^a   Liu, Luyan ^a   Shen, Dinggang ^a  

^a UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

^b University of North Carolina   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; BRAIN MAPPING; FORECASTING; FUNCTIONAL NEUROIMAGING; IMAGE RETRIEVAL; MAGNETIC LEVITATION VEHICLES; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; NETWORK ARCHITECTURE; NEURAL NETWORKS; PATIENT TREATMENT; TENSORS; TUMORS;

CLINICAL INFORMATION; CONVOLUTIONAL NEURAL NETWORK; HIGH-GRADE GLIOMAS; MAGNETIC RESONANCE IMAGES (MRI); MULTI-MODAL IMAGING; MULTICHANNEL DATA; SURVIVAL PREDICTION; TREATMENT PLANNING;

DIAGNOSIS;

EID: 84996490301     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-46723-8_25     Document Type: Conference Paper

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