Hybrid classification approach of malignant and benign pulmonary nodules based on topological and histogram features

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

Volumn 1935, Issue , 2000, Pages 297-306

  Kawata, Y ^a   Niki, N ^a   Ohmatsu, H ^b   Kusumoto, M ^c   Kakinuma, R ^b   Mori, K ^d   Nishiyama, H ^e   Eguchi, K ^f   Kaneko, M ^c   Moriyama, N ^c  

^a UNIVERSITY OF TOKUSHIMA   (Japan)

^b NATIONAL CANCER CENTER HOSPITAL EAST   (Japan)

^c NATIONAL CANCER CENTER HOSPITAL   (Japan)

^d TOCHIGI CANCER CENTER   (Japan)

^e The Social Health Insurance Medical Center   (Japan)

^f NATIONAL HOSPITAL ORGANIZATION SHIKOKU CANCER CENTER   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTERIZED TOMOGRAPHY; DIAGNOSIS; GRAPHIC METHODS; K-MEANS CLUSTERING; MEDICAL COMPUTING; MEDICAL IMAGING; TOPOLOGY;

CLASSIFICATION PERFORMANCE; CLASSIFIER PERFORMANCE; DIAGNOSTIC DECISIONS; HYBRID CLASSIFICATION; INTERNAL STRUCTURE; RECEIVER OPERATING CHARACTERISTICS ANALYSIS; THREEDIMENSIONAL (3-D); TOPOLOGICAL FEATURES;

CLASSIFIERS;

EID: 73349140103     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-40899-4_30     Document Type: Conference Paper

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