Improving Classification Performance of Spatial Filters in Mammographic Microcalcifications Images Using Persistent Homology

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Improving Classification Performance of Spatial Filters in Mammographic Microcalcifications Images Using Persistent Homology

Noise and artefacts in mammogram images can obscure important indicators of microcalcifications, complicating accurate diagnosis. While traditional spatial filters can reduce noise and are effective to some extent, they often fail to enhance features crucial for classification. This study uses persi...

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Bibliographic Details
Published in:	Malaysian Journal of Fundamental and Applied Sciences
Main Author:	Malek A.A.; Alias M.A.; Razak F.A.; Norani M.S.M.
Format:	Article
Language:	English
Published:	Penerbit UTM Press 2024
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212403701&doi=10.11113%2fmjfas.v20n6.3714&partnerID=40&md5=0e7243b4065c392750caa5468f4d394b

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