anatomical-structures-classifier

A deep learning project

Convolutional neural network made with PyTorch for multi-class classification of medical data.
The dataset is composed of 20 CT scans images from 20 patients. There are 23 classes (anatomicals stuctures sush as muscles, bones and organs). Dataset is not shared.
A cross-validation is used with 4 folds (15 training patients, 5 testing patients).
A confusion matrix is computed and saved and accuracies / losses of each epoch (training and testing) are saved.
Trained models are saved for anatomical structures detection.

This implementation is part of a research initiation project at INSA Lyon (1st year of telecom engineering) under supervision of researcher from CREATIS laboratory.
This CNN model is only usable with a specific dataset. Therefore it can't be used as such.