basharatwali Goto Github PK

addl

Apply deep learning on ADNI MRI for Alzheimer disease diagnostic.

ai-in-medical-field

In this repository, python is used for medical image analysis.

alzheimers-dl-network

A CNN-LSTM deep learning model for prognostic prediction and classification of Alzheimer's MRI neuroimages.

alzheimers_disease_detection_using_deep_learning

This project aims to detect Alzheimer's Disease from the MRI scans ( in .nii extension) given as input. It involves several pre-processing steps such as skull stripping, bias correction and segmentation. Once the segmentation is completed, three 2D slices (axial, coronnal, saggital) are extracted from the segmented MRI Image. In this manner the dataset is prepared which is used for training the model.

brain-segmentation

Deep learning based skull stripping and FLAIR abnormality segmentation in brain MRI using U-Net

brain-tumor-detection

In this repository, I have explained the process of brain tumor detection using python and sklearn

brain-tumor-segmentation

Attention-Guided Version of 2D UNet for Automatic Brain Tumor Segmentation

brainextractor

A re-implementation of FSL's Brain Extraction Tool in Python

brainprep

Preprocessing pipeline on Brain MR Images through FSL and ANTs, including registration, skull-stripping, bias field correction, enhancement and segmentation.

cnn_xray_classsification

Pneumonia Detection from X-ray images using Deep Learning Neural Network - CNN

complete-deep-learning

covid19-cnn-lstm

A combined deep CNN-LSTM network for the detection of novel coronavirus (COVID-19) using X-ray images

deep_and_machine_learning_projects

This Repository contains the list of various Machine and Deep Learning related projects. Related code and data files are available inside this folder. One can go through these projects to implement them in real life for specific use cases.

dicom2jpg

A simple Python function tool to convert DICOM files into jpg/png/bmp/tiff files and numpy.ndarray

dicompyler-core

A library of core radiation therapy modules for DICOM RT used by dicompyler

dipy

DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

fast-foreground-estimation

Official repository for the paper Approximate Fast Foreground Colour Estimation. ICIP 2021.

gesture-recognition-using-3dcnn-cnn-rnn

We will build 2 models for gesture recognition in webcam, 3D convolution and 2d Convolution+RNN

image_captioning

image captioning trained using COCO dataset in pytorch

imageregistration

A demo that implement image registration by matching SIFT descriptors and appling RANSAC and affine transformation.

keras-fewshotlearning

Some State-of-the-Art few shot learning algorithms in tensorflow 2

nilearn

Machine learning for NeuroImaging in Python

opencv-course

Learn OpenCV in 4 Hours - Code used in my Python and OpenCV course on freeCodeCamp.

preprocessed_ixi_dataset

IXI dataset, preprocessed to normalized brain volume maps.

py

Repository to store sample python programs for python learning

pybrain_dipy

Two days dipy workshop

pyelastix

Thin wrapper around elastix - a toolbox for rigid and nonrigid registration of images

python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

sign-language-recognition-using-hand-gestures-keras-pyqt5-opencv

Academic course work project serving the sign language translator with custom made capability

simpleitkworkshopimagej2015

SimpleITK workshop material for the 2015 ImageJ Conference. http://imagej.net/Conference_2015