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 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