relation: https://khub.utp.edu.my/scholars/3344/
title: A statistical feature selection method for lung cancer classification in CT scans
creator: Al-Absi, H.R.H.
creator: Samir, B.B.
description: This paper presents a computer aided diagnosis for lung nodules in CT images. The system consists of feature extraction, feature selection and classification. A two-step feature selection process is introduced to reduce the number of coefficients produced in the feature extraction step. This helps in enhancing the classification performance as it removes unneeded and redundant information. The classification rate of the system reached 98.10  with minimum false negatives and zero false positives. © 2013 AIP Publishing LLC.
date: 2013
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Al-Absi, H.R.H. and Samir, B.B.  (2013) A statistical feature selection method for lung cancer classification in CT scans.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84887531406&doi=10.1063%2f1.4826054&partnerID=40&md5=0f0e94a55d195dafc7df3a26c20d0154
relation: 10.1063/1.4826054
identifier: 10.1063/1.4826054