Leveraging All Levels of Features Abstraction for Improving the Generalization to Unseen Hospitals

Table of Content

1. Introduction
2. Guideline
   • To prepare
   • To run experiments
   • To visualize objective functions
   • To plot feature representations

Introduction

This repository contains the implementation of our "Leveraging All Level of Features Abstraction" (ALFA) method for the ICCV workshop, CVAMD paper. Our approach goes beyond traditional methods by leveraging not only domain-specific features but also incorporating SSL features with the goal of improving DG. Through the integration of SSL, our ALFA method can effectively learn and utilize additional features that are relevant, resulting in improved performance and accuracy.

Details of the model and experimental results can be found in the submission:

in progress

Please CITE our paper if you find it useful in your research.

To visualize objective functions we have used wandb:

wandb.log({name_for_the_entity:entity}) 

Here is the losses plot for the ALFA:

License

This source code is released under the Creative Commons Attribution-NonCommercial (CC BY-NC) license, included here.