239 Open source projects that are alternatives of or similar to few-shot-segmentation

Official public repository of Gate

DLTK Model Zoo

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

DICOM Viewer in Nextcloud

Starviewer, a cross-platform open source medical imaging software

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

The Medical Image Registration ToolKit (MIRTK), the successor of the IRTK, contains common CMake build configuration files, core libraries, and basic command-line tools. Extension packages are hosted by the MIRTK GitHub group at

Segmentation of skin cancers on ISIC 2017 challenge dataset.

A platform for end-to-end development of machine learning solutions in biomedical imaging

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

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"

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

Weakly Supervised Learning for Findings Detection in Medical Images

A deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge

OpenGL application for viewing depth and color video streams from Intel RealSense cameras

Deep Reinforcement Learning (DRL) agents applied to medical images

Neural networks toolbox focused on medical image analysis

The OHIF Medical Imaging Viewer is for viewing medical images. It can retrieve and load images from most sources and formats; render sets in 2D, 3D, and reconstructed representations; allows for the manipulation, annotation, and serialization of observations; supports internationalization, OpenID Connect, offline use, hotkeys, and many more features.

Code for ACL'19 "Few-Shot Representation Learning for Out-Of-Vocabulary Words"

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Visvis - the object oriented approach to visualization

Awesome list of software that I use to do research in medical imaging.

finetune bert for small dataset text classification in a few-shot learning manner using ProtoNet

Deep Learning Toolkit for Medical Image Analysis

Pure Rust implementation of the DICOM standard

Tel-Aviv Deep Learning Boot-camp: 12 Applied Deep Learning Labs

Deep Learning for Automatic Pneumonia Detection, RSNA challenge

Dicoogle - Open Source PACS

SegAN: Semantic Segmentation with Adversarial Learning

ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)

Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)

Lightweight framework for fast prototyping and training deep neural networks with PyTorch and TensorFlow

LibFewShot: A Comprehensive Library for Few-shot Learning.

Awesome GAN for Medical Imaging

Image segmentation - general superpixel segmentation & center detection & region growing

COVID deterioration prediction based on chest X-ray radiographs via MoCo-trained image representations

📄 Spatial Contrastive Learning for Few-Shot Classification (ECML/PKDD 2021).

JavaScript library to display interactive medical images including but not limited to DICOM

RadIO is a library for data science research of computed tomography imaging

MNE-CPP: A Framework for Electrophysiology

Application of Deep Learning to the segmentation of medical images

OSS Implementation of DICOMweb standard

A framework for GPU based high-performance medical image processing and visualization

Deep Learning Papers on Medical Image Analysis

Code for DARTS: DenseUnet-based Automatic Rapid Tool for brain Segmentation

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

Tools for tissue image stain normalisation and augmentation in Python 3

Tensorflow implementation of the V-Net architecture for medical imaging segmentation.

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

X-ray Images (Chest images) analysis and anomaly detection using Transfer learning with inception v2

Open solution to the Data Science Bowl 2018

ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

Medical Imaging Deep Learning library to train and deploy models on Azure Machine Learning and Azure Stack

Javascript implementation of DICOM manipulation

Awesome Few-shot learning

Time series annotation library.

A framework for developing neural network models for 3D image processing.

Grassroots DICOM read-only mirror. Only for Pull Request. Please report bug at http://sf.net/p/gdcm

Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification. ICIAR 2018 Grand Challenge on BreAst Cancer Histology images (BACH)