Provided are a medical image analyzing system and a method thereof, which mainly crop a
plurality of image patches from a processed image including a segmentation label
corresponding to a location of an organ, train a deep learning model with the image patches
to obtain prediction values, and plot a receiver operating characteristic curve to determine a
threshold which determines whether the image patches are cancerous, thereby effectively
improving the detection rate of cancer.

Provided is a medical image analyzing system and a method thereof, which includes:
acquiring a processed image having a segmentation label corresponding to a cancerous
part of an organ (if present), generating a plurality of image patches therefrom, performing
feature analysis on the image patches and model training to obtain prediction values,
drawing a receiver operating characteristic curve using the prediction values, and
determining a threshold with which determines whether the image patches are cancerous …