Projects in Data Science - Medical Imaging - group R

See the report Report

Purpose

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

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.

Name		Name	Last commit message	Last commit date
Latest commit History 211 Commits
__pycache__		__pycache__
features		features
manual annotations		manual annotations
models		models
01_process_images.py		01_process_images.py
02_train_classifiers.py		02_train_classifiers.py
03_evaluate_classifier.py		03_evaluate_classifier.py
Project_Report.pdf		Project_Report.pdf
README.md		README.md
extract_features.py		extract_features.py
metadata.csv		metadata.csv
requirements.txt		requirements.txt