Fully convolutional networks for multi-modality isointense infant brain image segmentation

Proceedings - International Symposium on Biomedical Imaging

Volumn 2016-June, Issue , 2016, Pages 1342-1345

  Nie, Dong ^a,b   Wang, Li ^b   Gao, Yaozong ^a,b   Sken, Dinggang ^b  

^a UNIVERSITY OF NORTH CAROLINA   (United States)

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

Author keywords

brain image; FCN; multi modality; segmentation

Indexed keywords

BRAIN; BRAIN MAPPING; CEREBROSPINAL FLUID; CONVOLUTION; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; TISSUE;

BRAIN IMAGES; CEREBRO SPINAL FLUIDS; CONVOLUTIONAL NETWORKS; FRACTIONAL ANISOTROPY; MULTI MODALITY; MULTI MODALITY IMAGE; SEGMENTATION METHODS; TISSUE SEGMENTATION;

IMAGE SEGMENTATION;

EID: 84978427941     PISSN: 19457928     EISSN: 19458452     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2016.7493515     Document Type: Conference Paper

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