Learning rules that classify ocular fundus images for glaucoma diagnosis

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

Volumn 1314, Issue , 1997, Pages 146-159

  Mizoguchi, Fumio ^a   Ohwada, Hayato ^a   Daidoji, Makiko ^a   Shirato, Shiroteru ^b  

^a TOKYO UNIVERSITY OF SCIENCE   (Japan)

^b UNIVERSITY OF TOKYO   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER CIRCUITS; DIAGNOSIS; GUNS (ARMAMENT); IMAGE CLASSIFICATION; IMAGE SEGMENTATION; KNOWLEDGE BASED SYSTEMS; MEDICAL IMAGING; OPHTHALMOLOGY; PROGRAM DIAGNOSTICS;

AUTOMATIC CONSTRUCTION; BACK-GROUND KNOWLEDGE; EMPIRICAL STUDIES; LEARNING FACILITIES; LOW-LEVEL MEASUREMENTS; NUMERICAL CONSTRAINTS; OCULAR FUNDUS IMAGES; STATISTICAL PERFORMANCE;

INDUCTIVE LOGIC PROGRAMMING (ILP);

EID: 84949217475     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-63494-0_53     Document Type: Conference Paper

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