Colorectal Cancer Prediction Using Image Processing and Machine Learning
DOI:
https://doi.org/10.48047/9tddk239Keywords:
Colorectal Cancer, Image Processing, Colonoscopy, Machine Learning, Histopathology Imaging, Cancer Prediction.Abstract
Colorectal cancer screening via colonoscopy and histopathology imaging is essential in early diagnostics. Recent advancements in digital imaging and machine learning have allowed for complex automated analysis algorithms. Development and Evaluation of a Computerized System to Predict Colorectal Cancer: Understanding the Role of Structure-Property Relationship Quantification in Medical Images. A multi-step algorithm was ascertained and calibrated, from preprocessing methods to noise reduction and enhanced image visualization.
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References
Jiang, S., Robinson, C., Anderson, J. C., Hisey, W., Butterly, L. F., Suriawinata, A. A., & Hassanpour, S. (2024). Improving Colorectal Cancer Screening and Risk Assessment through Predictive Medical Images and Records Modeling. arXiv (Cornell University). https://doi.org/10.48550/arxiv.2410.09880
Nishida, N., & Kudo, M. (2020). Artificial Intelligence in Medical Imaging and Its Application in Sonography for Managing Liver Tumor. Frontiers in Oncology, 10. https://doi.org/10.3389/fonc.2020.594580
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