Clustering-based approach for detecting breast cancer recurrence

Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10

Volumn , Issue , 2010, Pages 533-538

  Belciug, Smaranda ^a   Gorunescu, Florin ^b   Salem, Abdel Badeeh ^c   Gorunescu, Marina ^a  

^a UNIVERSITY OF CRAIOVA   (Romania)

^b UNIVERSITY OF MEDICINE AND PHARMACY OF CRAIOVA   (Romania)

^c Ain Shams University   (Egypt)

Author keywords

Breast cancer recurrence; Cluster network; Clustering algorithms; K means; Self organizing map network

Indexed keywords

BREAST CANCER; CLASSICAL K-MEANS; CLUSTER NETWORK; CLUSTER NETWORKS; DATA SETS; HEALTH PROFESSIONALS; INFORMED DECISION; K-MEANS; KOHONEN NETWORK; RECURRENT EVENTS; SELF ORGANIZING; SELF-ORGANIZING MAP NETWORK;

CONFORMAL MAPPING; DISEASES; INTELLIGENT SYSTEMS; SYSTEMS ANALYSIS;

CLUSTERING ALGORITHMS;

EID: 79851472017     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISDA.2010.5687211     Document Type: Conference Paper

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