hamyadkiani Goto Github PK

3d-gan

3d-medical-segmentation-gan

3D Liver Segmentation with GAN

3d-mri-brain-tumor-segmentation-using-autoencoder-regularization

Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

3d-unet-brats-pytorch

3D U-Net Based Volumetric Segmentation of BraTS MSD 2018 Dataset in PyTorch

3dunet

Medical images segmentation with 3D UNet GAN

a-to-z-resources-for-students

A to Z Resources for students as well as working proffessionals

advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

attention-gated-networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

awesome-gan-for-medical-imaging

Awesome GAN for Medical Imaging

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

brain-tumor-detection

Brain Tumor Detection Using Convolutional Neural Networks.

brain-tumor-detection-in-3d-mris-using-dcgan

Using DCGAN for segmenting brain tumors from brain image scans

brain-tumor-mri-dataset

Utilities to download and load an MRI brain tumor dataset with Python, providing 2D slices, tumor masks and tumor classes.

brain-tumor-segmentation-brats-18

Multimodal Brain Tumor Segmentation

brain-tumor-segmentation-unet

create Brain Tumor Segmentation Launch file

brainy

Brainy is a virtual MRI analyzer. Just upload the MRI scan file and get 3 different classes of tumors detected and segmented. In Beta.

brats

BraTs (Brain Tumor Segmentation)

brats2018-tumor-segmentation

We provide DeepMedic and 3D UNet in pytorch for brain tumore segmentation. We also integrate location information with DeepMedic and 3D UNet by adding additional brain parcellation with original MR images.

class.vision

Computer vision and Deep learning

credit-risk-model

Credit Risk Model on Machine learning and prediction

cs229-python

Exercises and solutions to Stanford CS229 Machine Learning in Python

data-augmentation-and-segmentation-with-gans-for-medical-images

Generating randomized brain MRI images from random noise using a GAN. Additionally translating from one image domain to another with a conditional GAN (pix2pix): Segmenting brain anatomy - Generating brain MRI from the segmentation - Augmenting the translation of image modalities in a limited dataset to perform ischemic stroke segmentation.

data-science-for-beginners

Microsoft 10 Weeks, 20 Lessons, Data Science for All!

datacamp

A repository that contains courses I have taken on DataCamp

datacamp-1

DataCamp data-science courses

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-in-computer-vision

Course work from Deep Learning in Computer Vision from National Research University Higher School of Economics

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deep_learning_in_python_2018

deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"