1419 Open source projects that are alternatives of or similar to Torchio

End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle

A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning

PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty

Official Implementation of 'Fast AutoAugment' in PyTorch.

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

Kaggle | 9th place single model solution for TGS Salt Identification Challenge

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

Efficient Learning of Augmentation Policy Schedules

Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.

All Convolutional Network: (https://arxiv.org/abs/1412.6806#) implementation in Keras

Data augmentation using synthetic data for time series classification with deep residual networks

MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.

PyTorch Implementation of Small Lesion Segmentation in Brain MRIs with Subpixel Embedding (ORAL, MICCAIW 2021)

Skin lesion detection from dermoscopic images using Convolutional Neural Networks

Cut and paste augmentation for object detection and instance segmentation

Prostate MR Image Segmentation 2012

Medical image segmentation ( Eye vessel segmentation)

Resurces for MRI images processing and deep learning in 3D

Multi-platform, free open source software for visualization and image computing.

Robust Chest CT Image Segmentation of COVID-19 Lung Infection based on limited data

Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

The code includes all the file that you need in the training stage for FCN

a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.

A simpler way of reading and augmenting image segmentation data into TensorFlow

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

A generalizable application framework for segmentation, regression, and classification using PyTorch

Building an ACL tear detector to spot knee injuries from MRIs with PyTorch (MRNet)

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

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

Smart India Hackathon 2019 project given by the Department of Atomic Energy

Medical Image Segmentation Toolkit based on PaddlePaddle - 基于paddle的医学影像分割框架

MONAI Label is an intelligent open source image labeling and learning tool.

Simple image augmentation library focusing on random geometric cropping

Code for ICCV2019 paper "InstaBoost: Boosting Instance Segmentation Via Probability Map Guided Copy-Pasting"

RMDL: Random Multimodel Deep Learning for Classification

CNN implementation for medical X-Ray image segmentation

A modern PyTorch implementation of SRGAN

Data augmentation for NLP, presented at EMNLP 2019

DeltaPy - Tabular Data Augmentation (by @firmai)

Implementation of a hierarchical CNN based model to detect Big Five personality traits

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

Code examples for new APIs of iOS 10.

A brand logo detection system using tensorflow object detection API.

Convolutional Neural Network for Human Activity Recognition in Tensorflow

Paper reading notes on Deep Learning and Machine Learning

Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.

Unofficial PyTorch Reimplementation of RandAugment.

A light-weight, power efficient, and general purpose convolutional neural network

A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN

Deep Learning Models for Face Detection/Recognition/Alignments, implemented in Tensorflow

Building Convolutional Neural Networks From Scratch using NumPy

Deep Convolutional Neural Networks for Musical Source Separation

A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.

High-performance Vision library in Python. Scale your research, not boilerplate.

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.