Peyman Obeidy's Projects
OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages
PraNet: Parallel Reverse Attention Network for Polyp Segmentation, MICCAI 2020 (Oral). Code using Jittor Framework is available.
useful coding notes
Python code canto be used to create a word document or to add to an existing one.
list of the functions, inlcuding examples
Example notebooks of pyCircos
Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics
A Python code to remove motion artifacts in dynamic computed tomography
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
Count the MACs / FLOPs of your PyTorch model.
PyTorch Tutorials from my YouTube channel
3D transformations for Python.
Report Guided Annotation
Deep Learning Project which help us to identify a Person is Covid or non-Covid and Segment the Infection in the Lungs.
Classify Skin cancer from the skin lesion images using Image classification. The dataset for the project is obtained from the Kaggle SIIM-ISIC-Melanoma-Classification competition.
This is a 3D Slicer extension for segmentation and spatial reconstruction of infiltrated, collapsed, and emphysematous areas in lung CT.
Deep Learning for Lung Cancer Risk Prediction using LDCT
A light-weighted extension that brings you the best image browsing experience in VS Code, especially for remote / cloud development.