AUTOMATIC LUNG NODULE DETECTION BASED ON STATISTICAL REGION MERGING AND SUPPORT VECTOR MACHINES

AUTOMATIC LUNG NODULE DETECTION BASED ON STATISTICAL REGION MERGING AND SUPPORT VECTOR MACHINES

Lung cancer is one of the most common diseases in the world that can be treated if the lung nodules are detected in their early stages of growth. This study develops a new framework for computer-aided detection of pulmonary nodules thorough a fully-automatic analysis of Computed Tomography (CT) imag...

Full description

Bibliographic Details
Main Authors: Elaheh Aghabalaei Khordehchi, Ahmad Ayatollahi, Mohammad Reza Daliri
Format: Article
Language:English
Published: Slovenian Society for Stereology and Quantitative Image Analysis 2017-06-01
Series:Image Analysis and Stereology
Subjects:
CT X-ray images
morphological filtering
nodule detection
nonlinear partial differential quations
statistical region merging
support vector machine
Online Access:https://www.ias-iss.org/ojs/IAS/article/view/1679

Internet

https://www.ias-iss.org/ojs/IAS/article/view/1679

Similar Items