Robust and automated lung nodule diagnosis from CT images based on fuzzy systems

Proceedings of 2011 International Conference on Process Automation, Control and Computing, PACC 2011

Volumn , Issue , 2011, Pages

  Kumar, S Aravind ^a   Ramesh, Jayabalan ^b   Vanathi, Ponnusamy Thangapandian ^b   Gunavathi, K ^b  

^a INTEL TECHNOLOGY INDIA PVT LTD   (India)

^b PSG COLLEGE OF TECHNOLOGY   (India)

Author keywords

Computer aided diagnosis (CAD); Enhancement; Fuzzy systems; Lung nodule; Segmentation

Indexed keywords

CLINICAL DIAGNOSIS; CT IMAGE; CT SCAN; DESIGN AND DEVELOPMENT; DETECTION SENSITIVITY; EARLY DETECTION; FALSE POSITIVE; GREY LEVELS; HISTOLOGICAL IMAGES; INPUT IMAGE; LUNG CANCER; LUNG NODULE; SURVIVAL RATE; TRUE POSITIVE RATES; TWO STAGE;

AUTOMATION; BIOLOGICAL ORGANS; COMPUTER AIDED DESIGN; COMPUTER CONTROL SYSTEMS; COMPUTERIZED TOMOGRAPHY; DISEASES; FUZZY SYSTEMS; PATIENT TREATMENT; PROCESS CONTROL;

COMPUTER AIDED DIAGNOSIS;

EID: 80052234056     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PACC.2011.5979050     Document Type: Conference Paper

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