Observer and feature analysis on diagnosis of retinopathy of prematurity

IEEE International Workshop on Machine Learning for Signal Processing, MLSP

Volumn , Issue , 2012, Pages

  Ataer Cansizoglu, E ^a   You, S ^a   Kalpathy Cramer, J ^b   Keck, K ^c   Chiang, M F ^c   Erdogmus, D ^a  

^a NORTHEASTERN UNIVERSITY   (United States)

^b MASSACHUSETTS GENERAL HOSPITAL   (United States)

^c OREGON HEALTH AND SCIENCE UNIVERSITY   (United States)

Author keywords

feature selection; observer analysis; retinal image analysis

Indexed keywords

DATA SETS; FEATURE ANALYSIS; KERNEL DENSITY ESTIMATION; MUTUAL INFORMATIONS; OBSERVER ANALYSIS; RETINAL IMAGE; RETINAL IMAGE ANALYSIS; RETINOPATHY OF PREMATURITY;

EYE PROTECTION; FEATURE EXTRACTION; LEARNING SYSTEMS; OPHTHALMOLOGY; SIGNAL PROCESSING;

DIAGNOSIS;

EID: 84870678072     PISSN: 21610363     EISSN: 21610371     Source Type: Conference Proceeding    
DOI: 10.1109/MLSP.2012.6349809     Document Type: Conference Paper

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