A computer aided diagnosis system for detection of lung nodules from series of CT slices

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dc.contributor.authorPaing, May Phu
dc.contributor.authorChoomchuay, Somsak
dc.date.accessioned2026-08-06T10:17:46Z
dc.date.available2026-08-06T10:17:46Z
dc.date.issued2017-11-03
dc.description.abstractThe 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.
dc.identifier.citationEcti Con 2017 2017 14th International Conference on Electrical Engineering Electronics Computer Telecommunications and Information Technology, 302-305, 2017
dc.identifier.doi10.1109/ECTICon.2017.8096233
dc.identifier.other2-s2.0-85039916259
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/7960
dc.sourceEcti Con 2017 2017 14th International Conference on Electrical Engineering Electronics Computer Telecommunications and Information Technology
dc.subjectCT scan
dc.subjectlung cancer
dc.subjectmultilayer perceptron
dc.subjectnodule detection
dc.titleA computer aided diagnosis system for detection of lung nodules from series of CT slices
dc.typeConference Paper

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