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robust-glioma-segmentation

An implementation for "Robust Semantic Segmentation of Brain Tumor Regions from 3D MRIs."

rvtracker

sajid

scikit-video

Video Processing in Python

scilpy

The Sherbrooke Connectivity Imaging Lab (SCIL) Python dMRI processing toolbox

segmentation_models

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

segtran

Medical Image Segmentation using Squeeze-and-Expansion Transformers

skill-assessment-tee-deep-learning

Deep learning based skill assessment in transoesophageal echocardiography using **Python** & **Tensorflow**

smoothahaplot

Class for producing smooth 17 and 18 segment left ventricle plot, recommended by American Heart Association

social-distancing-detection-usage

sonocrop

Prepare ultrasound videos for machine learning-- crop and remove static clutter from ultrasound video.

sota-medseg

SOTA medical image segmentation methods based on various challenges

streamlit-tensorflow-ml-app

Web App for Plant Disease Detection using Tensorflow and streamlit

streamlit-webrtc-example

Real time video and audio processing examples with Streamlit and streamlit-webrtc

synaptus

A Matlab/Octave toolbox for synthetic aperture ultrasound imaging

synthetic-fruit-image-generator

Use a CGAN to generate synthetic images of healthy and unhealthy lemons

t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

tbss

Tract based spatial statistics using ANTs and FSL

the-learning-documentation-project

This documentation is about the new learning(s) and issue(s) resolvings on different aspects of academic, professional and personal thoughts. It includes(or/with links): Research topics(& resources), Programming(issues and code), Advanced Linux commands, Networking commands, bash script command utilization, Linux packages(& scripts), Machinine learning, text documentation, images, tutorial(links) and gitlab links(Personal repository links).

tools-to-design-or-visualize-architecture-of-neural-network

Tools to Design or Visualize Architecture of Neural Network

tract2mesh

Convert tractography streamlines into meshes

transbts

This repo provides the official code for TransBTS: Multimodal Brain Tumor Segmentation Using Transformer (https://arxiv.org/pdf/2103.04430.pdf) , accepted by MICCAI2021.

transfer_learning_binary_classification

I will implement the binary-class image classification using the VGG-16 Deep Convolutional Network as a Transfer Learning framework where the VGGNet comes pre-trained on the ImageNet dataset. For the experiment, we will use the Kaggle dogs-vs-cats dataset and classify the image objects into 2 classes. The classification accuracies of the VGG-16 model will be visualized using the confusion matrices.

transpose

A real-time motion capture system that estimates poses and global translations using only 6 inertial measurement units

ts2wm

two-stage-vae-attention-gate-brats2020

A Two-Stage Cascade Model with Variational Autoencoders and Attention Gates for MRI Brain Tumor Segmentation (BraTS 2020 Challenge; BrainLes2020 paper)

u-net-brain-tumor

U-Net Brain Tumor Segmentation in TensorFlow

u-net-for-multi-class-semantic-segmentation

u-net-with-multiple-classification

unext-pytorch

Official Pytorch Code base for "UNeXt: MLP-based Rapid Medical Image Segmentation Network"