Vangara, Mahendra and Gogineni, Chaitanya and Athota, Koteswara and Katika, Veera and Dar, Jawad (2025) Multi Cancer Classification using Efficientnet-B3 Feature Extraction and UMAP-Optimized Traditional Machine Learning Models. In: Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part II.
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Abstract
Our work introduces the creation and testing of a multi-cancer classification system for histopathological images, with specific attention to the unique classification of Cervical Cancer, Acute Lymphoblastic Leukemia (ALL), Brain Cancer and Lung and Colon Cancer (handled as one group). Each of the c
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 20:20 |
| Last Modified: | 16 Apr 2026 15:50 |
| URI: | http://eprints.eai.eu/id/eprint/60248 |
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