Optimizing Network Classification Performance by Geometric Transformations on Delayed Enhancement Cardiac Magnetic Resonance Imaging

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Optimizing Network Classification Performance by Geometric Transformations on Delayed Enhancement Cardiac Magnetic Resonance Imaging

Delayed enhancement cardiac magnetic resonance imaging is crucial in identifying and monitoring heart disease. Since Deep Convolutional Neural networks have been found to perform very well in different computer-assisted activities, the use of these automated methods appears to have potential for red...

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Bibliographic Details
Published in:	Proceedings - 13th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2023
Main Author:	Damit D.S.A.; Sulaiman S.N.; Osman M.K.; Karim N.K.A.; Meng B.C.C.; Abdullah M.F.
Format:	Conference paper
Language:	English
Published:	Institute of Electrical and Electronics Engineers Inc. 2023
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172901294&doi=10.1109%2fICCSCE58721.2023.10237089&partnerID=40&md5=4b2027997a785da68101deff7db4751d

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