Optimizing Leukemia Classification with Fine-Tuned SENet Variants: A Comparative Study on Binary and Multi-Class Tasks

Leukemia, a blood cancer diagnosed primarily through microscopic examination of blood smears, poses challenges due to the cost, time, and labor-intensive nature of the process. This paper proposes an automated deep learningbased approach for leukemia classification, addressing two tasks: (i) bin...

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Bibliographic Details

Main Authors:	Humaira, Nisar, Kye-Fung, Lee, Siti Atiyah, Ali
Format:	Proceeding
Language:	en
Published:	2025
Subjects:	R Medicine (General) RZ Other systems of medicine
Online Access:	http://ir.unimas.my/id/eprint/51127/2/Optimizing%20Leukemia.pdf http://ir.unimas.my/id/eprint/51127/ https://ieeexplore.ieee.org/document/11309239
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