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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| Main Authors: | , , |
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| Format: | Proceeding |
| Language: | en |
| Published: |
2025
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| Subjects: | |
| 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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