Optimized Deep Learning Models for Early Prediction and Analysis of Colorectal Cancer
Colorectal cancer (CRC) is a significant global health concern, ranking as the third most common cancer and the second leading cause of cancer-related deaths. It primarily affects the large intestine and rectum, with an estimated 930,000 deaths attributed to CRC in 2020, accounting for 10% of all cancer fatalities worldwide(Fadlallah et al., 2024) (Roshandel et al., 2024). The disease often develops from precancerous lesions, making early detection through screening vital for effective management("Colorectal cancer", 2023).
Authors
- Kalpana K. Bhanumathy (ORCID: https://orcid.org/0000-0002-3499-6219)
- G. N. K. Suresh Babu (ORCID: https://orcid.org/0000-0002-8467-3119)
Publication Details
- Journal
- Frontiers in Health Informatics
- Published
- 2024-12-26
- DOI
- https://doi.org/10.63682/fhi1589
- Citations
- 2
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.81