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

Dicoogle - Open Source PACS

Classification for covid-19 chest X-ray images using Lightning

SegAN: Semantic Segmentation with Adversarial Learning

Slicer extensions index

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

Robust 3D Neuron Tracing / General 3D tree structure extraction in Python for 3D images powered by the Rivulet2 algorithm. Pain-free Install & use in 5 mins.

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

Repository for the article "Unsupervised domain adaptation for medical imaging segmentation with self-ensembling".

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

Tensorflow implementation of paper: A Hierarchical Approach for Generating Descriptive Image Paragraphs

Tools for MRI mouse brain morphometry

LibFewShot: A Comprehensive Library for Few-shot Learning.

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

Awesome GAN for Medical Imaging

Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.

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

Medical image preprocessing and augmentation toolkit for deep learning

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

⚡High Performance DICOM Medical Image Parser in Go.

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

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

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

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics

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

Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge

MNE-CPP: A Framework for Electrophysiology

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.

Application of Deep Learning to the segmentation of medical images

U-Net Brain Tumor Segmentation

OSS Implementation of DICOMweb standard

U-Net: Convolutional Networks for Biomedical Image Segmentation

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

Weasis is a DICOM viewer available as a desktop application or as a web-based application.

Deep Learning Papers on Medical Image Analysis

Chest Xray image analysis using Deep learning !

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

Automated lung segmentation in CT

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

DIAGNOSIS OF DIABETIC RETINOPATHY FROM FUNDUS IMAGES USING SVM, KNN, and attention-based CNN models with GradCam score for interpretability,

Tools for tissue image stain normalisation and augmentation in Python 3

Image-and-Spatial Transformer Networks

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

ICVGIP' 18 Oral Paper - Classification of thoracic diseases on ChestX-Ray14 dataset

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

RESTful PACS server with plugins

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

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

Open solution to the Data Science Bowl 2018

VisualQC : assistive tool to ease the quality control workflow of neuroimaging data.

ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

Resurces for MRI images processing and deep learning in 3D

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

Deep Learning for Automatic Pneumonia Detection, RSNA challenge

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)

DICOM Web Viewer: open source zero footprint medical image viewer.