576 Open source projects that are alternatives of or similar to Retinal-Disease-Diagnosis-With-Residual-Attention-Networks

A medical imaging framework for Pytorch

Repository for "AI/MD in Medicine" club in clubhouse

Fellow Oak DICOM for .NET, .NET Core, Universal Windows, Android, iOS, Mono and Unity

A Multi-Class Brain Tumor Classifier using Convolutional Neural Network with 99% Accuracy achieved by applying the method of Transfer Learning using Python and Pytorch Deep Learning Framework

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

A small TensorFlow project created to test some machine learning problems

Kaggle datascience bowl 2017

AU_Recognition based on CKPlus/CK database

source code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)

A set of common support code for medical imaging, surgical navigation, and related purposes.

Depth estimation from RGB images using fully convolutional neural networks.

A framework for tools built on top of Cornerstone.

A minimal Python library to facilitate the creation and manipulation of DICOM RTStructs.

Paper reading notes on Deep Learning and Machine Learning

codes for paper "Domain Attention Model for Multi-Domain Sentiment Classification"

The Medical Imaging Interaction Toolkit.

Implementation of Axial attention - attending to multi-dimensional data efficiently

tracking medical datasets, with a focus on medical imaging

[TPAMI 2020] Parallax Attention for Unsupervised Stereo Correspondence Learning

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

Scripts to work with LMDB + PyTorch for Imagenet training

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

SimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.

BIRL: Benchmark on Image Registration methods with Landmark validations

Its a social networking chat-bot trained on Reddit dataset . It supports open bounded queries developed on the concept of Neural Machine Translation. Beware of its being sarcastic just like its creator 😝 BDW it uses Pytorch framework and Python3.

Dataset: landmarks for registration of histology images

PyTorch to Keras model convertor

AI Papers

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.

ResNeSt: Split-Attention Networks

DICOM Adapter is a component of the Clara Deploy SDK which facilitates integration with DICOM compliant systems, enables ingestion of imaging data, helps triggering of jobs with configurable rules and offers pushing the output of jobs to PACS systems.

Deep fusion project of deeply-fused nets, and the study on the connection to ensembling

[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images

detector for rotated-object based on CenterNet/基于CenterNet的旋转目标检测

🎬 Video Captioning: ICCV '15 paper implementation

Tutorials of deep learning for computer vision.

Pytorch implementation of a basic language model using Attention in LSTM network

Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation"

A collection of deep learning models (PyTorch implemtation)

DeepLab v3+ model in PyTorch. Support different backbones.

Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

Video Platform for Action Recognition and Object Detection in Pytorch

Collection of AI resources to fight against Coronavirus (COVID-19)

A Caffe Re-Implementation of SENet

Implementation of E(n)-Transformer, which extends the ideas of Welling's E(n)-Equivariant Graph Neural Network to attention

medium blog supplementaries | Backprop | Resnet & ResNext | RNN |

Open solution to the Data Science Bowl 2018

No description or website provided.

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

TUM_MLMI_SS16: Convolutional Neural Network using U-Net architecture to predict one modality of a brain MRI scan from another modality.

ResNet-20/32/44/56/110 on CIFAR-10 with Caffe

attention mechanism in keras, like Dense and RNN...

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

TensorFlow implementation of Faster RCNN for Object Detection

Attention-Based Guided Structured Sparsity of Deep Neural Networks

Samples for TensorFlow binding for .NET by Lost Tech

An Implementation of Transformer in Transformer in TensorFlow for image classification, attention inside local patches

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

Pure Rust implementation of the DICOM standard

Javascript implementation of DICOM manipulation