Integrating Genomic Data and Imaging in Lung Cancer Prediction Using a Hybrid Deep Learning Approach
The result shows that accuracy is the exactness of the models, with Inception-ResNet-v2 achieving the highest at 92.5%, implemented using Python software. Future research can explore the integration of additional multimodal data sources, such as electronic health records and lifestyle factors, to further enhance lung cancer prediction models.
Authors
- Narendra M. Kandoi
- Anand Sharma
Institutions
- Maharaja Engineering College (IN)
Publication Details
- Journal
- American Journal of Clinical Oncology
- Published
- 2025-12-26
- DOI
- https://doi.org/10.1097/coc.0000000000001288
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00