A foundation model-driven whole slide image-scale cell phenotyping method with QuPath integration Resources
- bioimage-analysis
- cell-classification
- computer-vision
- digital-pathology
47,133 repositories indexed
49–60 of 60 · Most stars
A foundation model-driven whole slide image-scale cell phenotyping method with QuPath integration Resources
A common lisp library that provides a numeric type with optional unit and/or uncertainty for computations with automatic error propagation.
NASA/JPL SPICE Toolkit for C – patched for cross-platform compatibility
A versatile single-cell cross-modality translation method via dual-aligned variational autoencoders
Single-cell fluorescence microscopy data analysis
Accurate segmentation of bacterial microscope images using deep learning synthetically generated image data.
mrQA: tools for quality assurance in medical imaging datasets, including protocol compliance
Simple, reliable .NET libraries covering numbers, geometry and data structures
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.
Vendor-agnostic, FHIR-Genomics-aligned API contract for cross-vendor NGS interpretation. JSON Schema + TypeScript + Python pydantic.
Python library for statistical analysis of mRNA and protein distributions in fluorescent microscopy images
Genetic Algorithm Implementation for Ada