Ovarian cancer diagnosis by hippocampus and neocortex-inspired learning memory structures

Neural Networks

Volumn 18, Issue 5-6, 2005, Pages 818-825

  Tan, T Z ^a   Quek, C ^a   Ng, G S ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Complementary learning; Diagnostic decision support system; FALCON ART; FCMAC; Fuzzy neural network; Hippocampus; Neocortical association; Ovarian cancer; Semantic learning

Indexed keywords

DIAGNOSIS; FUZZY SETS; INTEROPERABILITY; LEARNING SYSTEMS; PROBLEM SOLVING;

DNA MICROARRAYS; EMERGING TECHNIQUES; OVARIAN CANCER;

TUMORS;

ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; CANCER DIAGNOSIS; CANCER STAGING; CONFERENCE PAPER; DIAGNOSTIC PROCEDURE; DNA MICROARRAY; HIPPOCAMPUS; HUMAN; LEARNING; LOGIC; MEDICAL DECISION MAKING; MEMORY; NEOCORTEX; OVARY CANCER; PRIORITY JOURNAL; ALGORITHM; ARTICLE; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; FEMALE; FUZZY LOGIC; GENETICS; OVARY TUMOR; PHYSIOLOGY; REGRESSION ANALYSIS;

DNA;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DIAGNOSIS, COMPUTER-ASSISTED; DNA, NEOPLASM; FEMALE; FUZZY LOGIC; HIPPOCAMPUS; HUMANS; MEMORY; MODELS, NEUROLOGICAL; NEOCORTEX; NEOPLASM STAGING; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; OVARIAN NEOPLASMS; REGRESSION ANALYSIS;

EID: 27744447007     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2005.06.027     Document Type: Conference Paper

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