Deep Clustering for the Medical Diagnosis of Cancer

Transfer and adaptation of general characteristics without supervision in microscopy images.

Table of contents

• Subject Presentation
• Technologies

Subject Presentation

In the following project, we aim to create an image classifier with Tensorflow by implementing a convolutional neural network (CNN) to classify chest x-ray images with COVID 19 infection and images of normal cases.

The dataset contains chest x-ray images from both groups. We will carry out the entire project on the Google Colab environment.

Project's Stages

This project will be processed according to the following steps:

• Data Preparation (visualization preprocessing and Augmentation)

• Build a Convolutional Neural Network (CNN)

• Compile and Train the Model

• Performance Evaluation

• Prediction on New Data

Technologies

• Notebook (Jupyter/Google Colab)
• Python
• Tensorflow