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A computer aided diagnosis system for detection of lung nodules from series of CT slices
Author(s)
Choomchuay, Somsak
Date Issued
November 3, 2017
Type
Conference Paper
Abstract
The proposed system aims to detect the lung nodules from a series of CT scan images. Otsu's thresholding and morphological operations are applied for nodules segmentation. After segmentation, the objects that do not hold the possibility to be nodules are removed. Geometric, histogram as well as texture features are then extracted for benign and malignant nodules classification. Multilayer Perceptron (MLP) is used for classification and the accuracy 95% has been achieved.
Citation
Ecti Con 2017 2017 14th International Conference on Electrical Engineering Electronics Computer Telecommunications and Information Technology, 302-305, 2017