Kerolos2019

diffusion-models

semantic-search-using-pinecone-

Object-Detection-in-an-Urban-Environment

DCGANS

Face-Recognition-web-app-in-Flask-and-Deployment

Kerolos2019

My Personal Profile

EigenFaces

GradCam

multi-stage-cancer-classification

Head-Pose-Estimation

LinearRegression-with-pytorch

tensor-basics-part2

Tensors-basics

covid19_report

Image-segmebtation-using-Mask-R-CNN

Rock-Paper-Scissor-by-computer-vision

Convolutional-AutoEncoder

CNN-visualization

Transfer-earning-using-Pytorch

Pneumonia-classification

Hand-Tracking-Basics-and-Modulle

Dicom-and-Nifti-

to work with medical images and analysis them , you must know some formatting files like DICOM and NIFTI , there are libraries that support those files like: SimpleITK , pydicom , Dicom is used more in hospitals and NIFTI is used more in research . when you are dealing with Dicom or Nifti you will struggle at first as they store and share a lot of information like device information , patient information on ,image information

Mix-up--data-augmentation-

SVM-classifier

finding-donors-

mask-detection

social-distance-project

colour-detection

objects-detection-