A partially connected neural network-based approach with application to breast cancer detection and recurrence

2010 IEEE International Conference on Intelligent Systems, IS 2010 - Proceedings

Volumn , Issue , 2010, Pages 191-196

  Belciug, Smaranda ^a   El Darzi, Elia ^b  

^a UNIVERSITY OF CRAIOVA   (Romania)

^b UNIVERSITY OF WESTMINSTER   (United Kingdom)

Author keywords

Breast cancer detection and recurrence; Java implementation; Neural networks; Partially connected neural networks

Indexed keywords

ALTERNATIVE APPROACH; BREAST CANCER; BREAST CANCER DETECTION; CLASSIFICATION PROCESS; COMMONLY USED; COMPUTING RESOURCE; DATA SETS; FULLY CONNECTED NEURAL NETWORK; GENERALISATION; JAVA IMPLEMENTATION; LARGE DATABASE; LARGE-COMPUTING; LOW SPEED; NEURAL NETWORKS APPLICATIONS; PARTIALLY CONNECTED NEURAL NETWORK;

INTELLIGENT SYSTEMS;

FEEDFORWARD NEURAL NETWORKS;

EID: 77957826690     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IS.2010.5548358     Document Type: Conference Paper

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