OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages
- nci-itcr
- nci-qin
- quantitative-imaging
- imaging-informatics
Repository Index
47,133 repositories indexed
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Open Babel is a chemical toolbox designed to speak the many languages of chemical data.
- chemistry
- chemical-data
- cheminformatics
- c-plus-plus
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
⚡High Performance DICOM Medical Image Parser in Go.
- dicom
- dicom-images
- golang
- golang-library
3D medical imaging reconstruction software
- dicom
- dicom-viewer
- magnetic-resonance-imaging
- medical-image-processing
Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.
Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.
- histopathology-images
- microscopy
- sliding-windows
- medical-image-analysis
C library for reading virtual slide images
- pathology
- whole-slide-imaging
- c
Python-centric Cookiecutter for Molecular Computational Chemistry Packages
- cookiecutter
- python-packages
- molecular-sciences
- conda-environment
Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.
- artificial-intelligence
- clip
- pathology
- vision-and-language
Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell
- histology
- wsi-images
- pan-cancer-analysis
- genomics
Automated 3D cell detection in very large images
- microscopy
- cell-detection
- deep-learning
- image-analysis
Converts medical images to more displayable formats, e.g. NIfTI to jpg.
AI-based pathology predicts origins for cancers of unknown primary - Nature
- histology
- pathology
- wsi-images
- histopathology
A tool for cell instance aware segmentation in densely packed 3D volumetric images
- segmentation
- deep-learning
- bioinformatics
- neural-network
Toolbox for the analysis of smFISH images.
- pattern-classification
- rna-localization
- segmentation
- smfish
Minerva Story is an image viewer that is designed specifically to make it easy for non-expert users to interact with complex tissue images.
- minerva
- microscopy
- ome
- immunofluorescence
Qurry (was) a prototype for a functional quantum programming language. It incorporated many aspects of functional programming (Haskell, Clojure), but also took standard design philosophies from C++, Python, and other "traditional" languages. [category: quantum]
Collection of basic math routines in Ada
Accurate segmentation of bacterial microscope images using deep learning synthetically generated image data.
- microscopy
- image-processing
- segmentation
- biology
Mathpaqs: a collection of mathematical packages in pure Ada
- ada
- ada-language
- math-library
- ada-library
mrQA: tools for quality assurance in medical imaging datasets, including protocol compliance
- qa
- mri
- neuroimaging
- niqc
DetecDiv provides a comprehensive set of tools to analyze time microscopy images using deep learning methods. The software structure is such that data can be processed either at the command line or using a graphical user-interface. Detecdiv classification models include : image classification and regression, semantic segmentation, LSTM networks to analyze data and image timeseries.
Python library for statistical analysis of mRNA and protein distributions in fluorescent microscopy images