Colorectal Cancer Prediction Using Image Processing and Machine Learning

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.