CirrMRI600+: Large Scale MRI Collection and Segmentation of Cirrhotic Liver
CirrMRI600+: Large Scale MRI Collection and Segmentation of Cirrhotic Liver
🩺This project uses Random Forest classification to predict liver cirrhosis stages (1, 2, or 3) based on patient records from a Mayo Clinic study. By analyzing key clinical indicators such as bilirubin, albumin, and copper levels, the model supports early diagnosis and medical decision-making with interpretable machine learning.
Machine learning web application for predicting liver cirrhosis stages using clinical biomarkers
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