Development of automated diagnostic system for skin cancer: Performance analysis of neural network learning algorithms for classification

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

Volumn 8681 LNCS, Issue , 2014, Pages 837-844

  Masood, Ammara ^a   Al Jumaily, Adel Ali ^a   Adnan, Tariq ^a  

^a UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

Author keywords

Classification; Diagnostic systems; Feature extraction; Neural Network; Segmentation

Indexed keywords

CLASSIFICATION (OF INFORMATION); DECISION SUPPORT SYSTEMS; DERMATOLOGY; FEATURE EXTRACTION; IMAGE SEGMENTATION; NEURAL NETWORKS; ONCOLOGY;

AUTOMATED DIAGNOSTIC SYSTEMS; CLINICAL DECISION SUPPORT SYSTEMS; DIAGNOSTIC SYSTEMS; GENERAL PRACTITIONERS; LEVENBERG-MARQUARDT ALGORITHM; NEURAL NETWORK LEARNING ALGORITHM; RESILIENT BACKPROPAGATION; SCALED CONJUGATE GRADIENTS;

LEARNING ALGORITHMS;

EID: 84958539562     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-11179-7_105     Document Type: Conference Paper

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