Skip to content

Latest commit

 

History

History
12 lines (8 loc) · 586 Bytes

README.md

File metadata and controls

12 lines (8 loc) · 586 Bytes

Projects in Data Science - Medical Imaging - group R

Purpose

The aim of the project is to build a model for predicting if a lesion is cancerous or not.

How to use

  • To run "01_process_images.py" set path to images, masks, and metadata. The script will create a csv file of the features needed for training.

  • To run "02_train_classifiers.py" set path for training data. The script will create most optimized models using the training data.

  • To run "03_evaluate_calssifier.py" use classify function as an evaluator for a single image. This script will classify the lesion.