Tuning kernel function parameters of support vector machines for segmentation of lung disease patterns in high-resolution computed tomography images

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5370 III, Issue , 2004, Pages 1548-1557

  Shamsheyeva, Alena ^a   Sowmya, Arcot ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

Classification; Diffuse lung disease; High resolution computed tomography; Support vector machines; Texture features

Indexed keywords

ALGORITHMS; COMPUTER AIDED DIAGNOSIS; COMPUTERIZED TOMOGRAPHY; LEARNING SYSTEMS; MEDICAL IMAGING; PULMONARY DISEASES;

DIFFUSE LUNG DISEASES; HIGH-RESOLUTION COMPUTED TOMOGRAPHY (HRCT); SUPPORT VECTOR MACHINES; TEXTURE FEATURES;

IMAGE SEGMENTATION;

EID: 5644224492     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.534877     Document Type: Conference Paper

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