MultiChexNet

Tabel of contents

• Introduction
• Example Results
• Getting started
• File Dataset

Introduction

MultiChexNet is a model that is able to classify, detect, and segment chest related diseases in one forward propagation. We apply the concept of the MultiNet architecture to medical images. This architecture did not only speed up inference time for the three tasks but we also saw improvements over training individual models at a time. 

Example_Results

Segmentation results Detection results

Getting_started

Training steps

Datasets

Multiple dataset were used for the training process, and they are the following:

• NIH_chest_xrays
• RSNA
• SIMM-ACR