PyTorch Connectomics: segmentation toolbox for EM connectomics
- computer-vision
- neuroscience
- connectomics
- pytorch
Repository Index
47,133 repositories indexed
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Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk
- cancer-imaging-research
- radiomics
- radiomics-features
- machine-learning
AI-based pathology predicts origins for cancers of unknown primary - Nature
- histology
- pathology
- wsi-images
- histopathology
Open-source software for exploring and analyzing large, high-dimensional image-derived data.
- cellprofiler-analyst
- cellprofiler
- image-analysis
- machine-learning
A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data
- source-energy-balance
- canopy
- soil
- radiometric-temperatures
Numpy-like library in swift. (Multi-dimensional Array, ndarray, matrix and vector library)
- swift
- math
- ndimensional-arrays
- ndarray
Python package for image-based profiling
- cytominer
- microscopy
- morphological-profiling
- python
A tool for cell instance aware segmentation in densely packed 3D volumetric images
- segmentation
- deep-learning
- bioinformatics
- neural-network
Integrated pipeline for multiplexed image analysis
- multiplexed-imaging
- python
Toolbox for the analysis of smFISH images.
- pattern-classification
- rna-localization
- segmentation
- smfish
NeuroAnatomy Toolbox: An R package for the (3D) visualisation and analysis of biological image data, especially tracings of single neurons.
- r
- neuroanatomy-toolbox
- cran
- neuron
A set of protocols for Arithmetic, Statistics and Logical operations
The framework for quantification of neuronal anatomy
- neuroscience
- neuroanatomy-toolbox
- imagej
- imagej2
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
Methods for Image-Based Cell Profiling
A foundation model-driven whole slide image-scale cell phenotyping method with QuPath integration Resources
- bioimage-analysis
- cell-classification
- computer-vision
- digital-pathology
Accurate segmentation of bacterial microscope images using deep learning synthetically generated image data.
- microscopy
- image-processing
- segmentation
- biology
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.
Analysis of cell migration in Igor Pro
- igor
- imagej
- cell-migration
- tracking
Astronomical FITS image analysis tool for detecting asteroids, comets, satellites, moving objects, and transients in astrophotography data.
- astronomy
- astronomy-software
- astrophotography
- moving-object-detection
XitoSBML - the spatial SBML plugin for ImageJ
- sbml
- systems-biology
- spatial-sbml-plugin
- imagej
Python library for statistical analysis of mRNA and protein distributions in fluorescent microscopy images