Cardicac-Amyloidosis

Automated Cardiac amyloidosis detection and quantification on SPECT scentigraphy images.

Pipeline Overview

1. Cardiac Region Detection:

The pipeline first detects cardiac regions using a segmentation model based on the SwinUnetR architecture.

2. Image Classification:

After segmentation, the pipeline utilizes three pretrained models to classify the images in two main tasks:

• Detection: Identifying relevant features in the images.
• Severity Scoring: Assessing severity based on the Perugini score.

Download Trained Models

please dowload the trained models and tell the inference function where you saved those models on your machine. the inference instruction is provided. To install this repository, simply run:

pip install git+https://github.com/YazdanSalimi/Cardicac-Amyloidosis.git

We welcome any feedback, suggestions, or contributions to improve this project!

for any furtehr question please email me at: salimiyazdan@gmail.com