Enhancing lung lesion localization in CT-scans: a novel approach using FE_CXY and statistical analysis

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Enhancing lung lesion localization in CT-scans: a novel approach using FE_CXY and statistical analysis

Intelligence algorithm systems rely on a large dataset to effectively extract significant features that can recognize patterns for classification purposes and extensively utilized to assist the physicians in diagnosis of lung cancer. Extracting valuable features from the available dataset is crucial...

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Bibliographic Details
Published in:	Indonesian Journal of Electrical Engineering and Computer Science
Main Author:	Jafery N.N.; Sulaiman S.N.; Osman M.K.; Karim N.K.A.; Abdullah M.F.; Isa I.S.; Soh Z.H.C.
Format:	Article
Language:	English
Published:	Institute of Advanced Engineering and Science 2024
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191598568&doi=10.11591%2fijeecs.v34.i2.pp913-925&partnerID=40&md5=24bdb0f59e7957fb196618f39640ed3e

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