Hello, I am a radiologist and researcher in the field of Artificial Intelligence (AI). I have created this repository to share my research with the community and to collaborate with others who are interested in AI and its applications in radiology.
In this repository, you will find various notebooks that I have created during my research. These notebooks cover a wide range of topics related to AI in radiology, including image segmentation, classification, and deep learning.
I am constantly updating this repository as I work on new projects and experiments, so please check back often for the latest updates. If you have any questions or suggestions, please feel free to reach out to me.
Thank you for visiting my repository, and I hope you find my work useful and informative.
Contents
3D_Spleen_Segmentation: 3D Image segmentation using U-Net architecture.
3D_Spleen_Classification: 3D Image classification using DenseNet architecture.
2D_ICH_Detection: Detection of intracranial hemmorhage (ICH) and Interpretability using Grad-CAM
2D_Hypoxia_Detection: Detection of hypoxic-ischemic encephalopathy (HIE) after cardiac arrest in CT images.
Requirements
To run the notebooks in this repository, you will need the following software and libraries:
Python 3.6 or later
Jupyter Notebook
Monai
Pytorch
Keras
NumPy
Matplotlib
Please ensure that these dependencies are installed before running the notebooks.