The importance of skip connections in biomedical image segmentation

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

Volumn 10008 LNCS, Issue , 2016, Pages 179-187

  Drozdzal, Michal ^a,b   Vorontsov, Eugene ^a,b   Chartrand, Gabriel ^a,c   Kadoury, Samuel ^b,d   Pal, Chris ^b,e  

^a INSTITUTE FOR RESEARCH IN IMMUNOLOGY AND CANCER   (Canada)

^b ÉCOLE POLYTECHNIQUE DE MONTRÉAL   (Canada)

^c UNIVERSITÉ DE MONTRÉAL   (Canada)

^d CENTRE HOSPITALIER DE L UNIVERSITÉ DE MONTRÉAL   (Canada)

^e UNIVERSITÉ DE MONTRÉAL   (Canada)

Author keywords

FCN; ResNet; Semantic segmentation; Skip connections

Indexed keywords

COMPUTER AIDED ANALYSIS; COMPUTER AIDED INSTRUCTION; MEDICAL APPLICATIONS; MEDICAL IMAGING; SEMANTICS;

BIOMEDICAL IMAGE SEGMENTATION; CONVOLUTIONAL NETWORKS; GRADIENT FLOW; POST PROCESSING; RESNET; SEMANTIC SEGMENTATION; SPATIAL INFORMATIONS; STATE OF THE ART;

IMAGE SEGMENTATION;

EID: 84992493183     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-46976-8_19     Document Type: Conference Paper

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