Image super resolution using generative adversarial networks and local saliency maps for retinal image analysis

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

Volumn 10435 LNCS, Issue , 2017, Pages 382-390

  Mahapatra, Dwarikanath ^a   Bozorgtabar, Behzad ^a   Hewavitharanage, Sajini ^a   Garnavi, Rahil ^a  

^a IBM RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COST FUNCTIONS; IMAGE RESOLUTION; IMAGE SEGMENTATION; MEDICAL COMPUTING; MEDICAL IMAGING; OPHTHALMOLOGY; OPTICAL RESOLVING POWER; PIXELS;

ADVERSARIAL NETWORKS; AUTOMATED IMAGE ANALYSIS; HIGH RESOLUTION; IMAGE SUPER RESOLUTIONS; ORIGINAL IMAGES; PERCEPTUAL QUALITY; RETINAL IMAGE ANALYSIS; RETINAL VASCULATURE;

IMAGE ANALYSIS;

EID: 85029496528     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-66179-7_44     Document Type: Conference Paper

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