Brain tumor segmentation with Deep Neural Networks

Medical Image Analysis

Volumn 35, Issue , 2017, Pages 18-31

  Havaei, Mohammad ^a   Davy, Axel ^b   Warde Farley, David ^c   Biard, Antoine ^c,d   Courville, Aaron ^c   Bengio, Yoshua ^c   Pal, Chris ^c,e   Jodoin, Pierre Marc ^a   Larochelle, Hugo ^a  

^a UNIVERSITÉ DE SHERBROOKE   (Canada)

^b ECOLE NORMALE SUPÉRIEURE   (France)

^c UNIVERSITÉ DE MONTRÉAL   (Canada)

^d ECOLE POLYTECHNIQUE   (France)

^e ÉCOLE POLYTECHNIQUE DE MONTRÉAL   (Canada)

Author keywords

Brain tumor segmentation; Cascaded convolutional neural networks; Convolutional neural networks; Deep neural networks

Indexed keywords

BRAIN; CONVOLUTION; MAGNETIC RESONANCE IMAGING; NETWORK ARCHITECTURE; NEURAL NETWORKS; STATISTICAL TESTS; TUMORS;

BRAIN TUMOR SEGMENTATION; CASCADE ARCHITECTURE; COMPETITIVE PERFORMANCE; CONVOLUTIONAL NEURAL NETWORK; CONVOLUTIONAL NEURAL NETWORKS (CNN); DIFFERENT ARCHITECTURES; FULLY-CONNECTED LAYERS; TRAINING PROCEDURES;

DEEP NEURAL NETWORKS;

ARTICLE; BRAIN TUMOR; BRAIN TUMOR SEGMENTATION; GLIOBLASTOMA; IMAGE ANALYSIS; MACHINE LEARNING; NERVE CELL NETWORK; PRIORITY JOURNAL; ARTIFICIAL NEURAL NETWORK; DIAGNOSTIC IMAGING; HUMAN; IMAGE PROCESSING; NUCLEAR MAGNETIC RESONANCE IMAGING; PROCEDURES;

BRAIN NEOPLASMS; GLIOBLASTOMA; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MACHINE LEARNING; MAGNETIC RESONANCE IMAGING; NEURAL NETWORKS (COMPUTER);

EID: 84973442994     PISSN: 13618415     EISSN: 13618423     Source Type: Journal    
DOI: 10.1016/j.media.2016.05.004     Document Type: Article

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