PAthological QUpath Obsession - QuPath and Python conversations
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Updated
Jul 21, 2024 - Python
PAthological QUpath Obsession - QuPath and Python conversations
🔬 Code-free deep segmentation for computational pathology
Toolkit to help develop and run QuPath scripts from Eclipse and other IDEs, including over remote connections. (See README.md for more information)
Open-Source package for segmentation and analysis of gel electrophoresis images using machine learning. Both a python framework for training/running models and a QuPath GUI extension are available.
A cross platform version of Bio library & program. Bio is a library & program for annotating, & editing various microscopy imaging formats using Bioformats supported images. including whole slide, pyramidal & series.
Intel OpenVINO extension for QuPath, a digital pathology platform
MarrowQuant is a user-friendly algorithm for the quantification of H&E bone marrow tissue biopsies in whole slide images, implemented as a series of QuPath Scripts. Keywords: Digital Pathology, Whole slide Imaging, QuPath, Bone Marrow, Adiposity
A collection of groovy scripts for digital pathology
Materials supporting the QuPath workshop at Harvard Medical School.
A GUI-less version of Bio .NET library for editing & annotating various microscopy image formats. Supports all bioformats supported images. Integrates with ImageJ, running ImageJ filters & macro functions.
Supplementary information associated with Besson et al. (2019) ECDP 2019
pipeline that converts Deepcell generated instance segmentation masks of nuclei from an ome-tiff to Cell Objects with auto-generated cytoplasms in QuPath
Converting GeoJSON annotations from QuPath to COCO style.
Cartilage analysis for Toluidine blue slides
Custom groovy scripts for QuaPath
DRUGSENS is a R-package that allows users to automatically analyze QuPath™ output data from imaging analysis
Script for semi-automated bone volume quantification on Fast green Slides
nuclei segmentation by treshold, watershed methods & stardist neural network (educational project)
An image analysis pipeline for quantifying the spatial distribution of cell markers in stroma-rich tumors
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