1251 Open source projects that are alternatives of or similar to mri-deep-learning-tools

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

OpenMMLab Model Compression Toolbox and Benchmark.

Awesome GAN for Medical Imaging

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

《深度学习与计算机视觉》配套代码

Papers and Datasets about Point Cloud.

Deep Learning for Automatic Pneumonia Detection, RSNA challenge

Collections of model quantization algorithms

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

A Python toolbox for computer vision research and project

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

All-in-one Toolbox for Computer Vision Research.

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

The U-Net Segmentation plugin for Fiji (ImageJ)

Trainable models and NN optimization tools

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

Dstl Satellite Imagery Feature Detection

Training examples and results for ImageNet(ILSVRC2012)/CIFAR100/COCO2017/VOC2007+VOC2012 datasets.Image Classification/Object Detection.Include ResNet/EfficientNet/VovNet/DarkNet/RegNet/RetinaNet/FCOS/CenterNet/YOLOv3.

Detect and recognize The Simpsons characters using Keras and Faster R-CNN

API for the dataset proposed in "Pose2Seg: Detection Free Human Instance Segmentation" @ CVPR2019.

PaddlePaddle to ONNX model converter

Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(2020) paper

👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla

LUNA16-Lung-Nodule-Analysis-2016-Challenge

Bonnet and then some! Deep Learning Framework for various Image Recognition Tasks. Photogrammetry and Robotics Lab, University of Bonn

Camouflaged Object Detection, CVPR 2020 (Oral & Reported by the New Scientist Magazine)

Repository containing the code of one of the networks that we employed in the iSEG Grand MICCAI Challenge 2017, infant brain segmentation.

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

BGP Hijack Detection

The code for preparing the training data for crowd counting / segmentation algorithm.

R-GBD Person Tracking is a ROS framework for detecting and tracking people from a mobile robot.

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

Radar target classification, detection and recognition using deeplearning methods on MSTAR dataset

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

An open-source semi-automated processing chain for urban OBIA classification.

BCCD (Blood Cell Count and Detection) Dataset is a small-scale dataset for blood cells detection.

Perception toolkit for sim2real training and validation

a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results

基于Tensorflow2开发的优秀扩展包及项目

2021年计算机视觉技术综述分类汇总

A medical image converter

Skin lesion detection from dermoscopic images using Convolutional Neural Networks

MRQy is a quality assurance and checking tool for quantitative assessment of magnetic resonance imaging (MRI) data.

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.

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

Variants of Vision Transformer and its downstream tasks

Classification and Segmentation with Mask-RCNN of Skin Cancer using ISIC dataset

Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]

Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network

Prostate MR Image Segmentation 2012

Advanced Normalization Tools in R

Medical image segmentation ( Eye vessel segmentation)

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

🔥🔥Official Repository for Multi-Human-Parsing (MHP)🔥🔥

A Fast and Open Source Autonomous Perception System.

ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics

This is an official implementation of our NeurIPS 2021 paper "HRFormer: High-Resolution Transformer for Dense Prediction".