A Hybrid Evolutionary Deep Learning Model Integrating Multi-Modal Data for Optimizing Ovarian Cancer Diagnosis
- Title
- A Hybrid Evolutionary Deep Learning Model Integrating Multi-Modal Data for Optimizing Ovarian Cancer Diagnosis
- Description
- Proceedings - 2024 3rd International Conference on Computational Modelling, Simulation and Optimization, ICCMSO 2024 pp.28-33
- Creator
- George J.; Upreti K.; Poonia R.C.; Alapatt B.P.
- Source
- <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203700273&doi=10.1109%2fICCMSO61761.2024.00023&partnerID=40&md5=cb160274164e5f04a32c2a7f0d8edb4d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203700273&doi=10.1109%2fICCMSO61761.2024.00023&partnerID=40&md5=cb160274164e5f04a32c2a7f0d8edb4d</a>
- Date
- 2024-01-01
Collection
Citation
George J.; Upreti K.; Poonia R.C.; Alapatt B.P., “A Hybrid Evolutionary Deep Learning Model Integrating Multi-Modal Data for Optimizing Ovarian Cancer Diagnosis,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 8, 2025, https://archives.christuniversity.in/items/show/9617.