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http://hdl.handle.net/2080/4723| Title: | A Novel Deep Learning Framework for Enhanced Acute Lymphoblastic Leukemia Detection |
| Authors: | Ahmadsaidulu, Shaik Kanase, Akash Suresh Jain, Puneet Kumar Banoth, Earu |
| Keywords: | Deep Learning Acute Lymphoblastic Leukemia |
| Issue Date: | Sep-2024 |
| Citation: | Frontiers in Optics and Laser Science Conference (FiO LS-2024), Colorado Convention Center, Denver, Colorado, USA, 22–26 September 2024 |
| Abstract: | In this work a deep-learning model using enhanced YOLOv8(You Only Look Once) for classifying Acute Lymphoblastic Leukemia (ALL) and other normal cells. Achieving 98% accuracy for ALL and 91% for combined (ALL & Normal) classification enhances clinical decision-making. |
| Description: | Copyright belongs to proceeding publisher |
| URI: | http://hdl.handle.net/2080/4723 |
| Appears in Collections: | Conference Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2024_FiOLS_SAhmadsaidulu_ANovel.pdf | Poster | 578.4 kB | Adobe PDF | View/Open Request a copy |
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