aws-samples / digital-pathology-on-aws
☆22Updated last year
Related projects ⓘ
Alternatives and complementary repositories for digital-pathology-on-aws
- Bio-Formats image file format to raw format converter☆82Updated last week
- Raw format to OME-TIFF converter☆49Updated last week
- Deployment infrastructure for the Image Data Resource☆13Updated last month
- A versatile image analysis software for biological image-based quantification using machine learning, especially for whole slide imaging.☆61Updated 3 years ago
- Python project containing Ice remoting code for OMERO☆22Updated 2 months ago
- Aligning images acquired with the IBEX microscopy imaging technique☆17Updated last week
- Lazily load multiscale whole-slide images with openslide and dask☆33Updated last year
- Jupyter notebooks from our OMERO Plus for High Content Screening & Analysis webinar☆12Updated last year
- Simple Maven project for an ImageJ2 command☆30Updated 2 years ago
- DeepCell Kiosk Distribution for Kubernetes on GKE and AWS☆35Updated last year
- A collection of resources on bioimage analysis and related tools and techniques☆13Updated last year
- ☆33Updated this week
- CytoData 2016 – origin story☆17Updated 7 years ago
- Hands-on Sessions 1 and 2 at the Building Interpretable AI for Digital Pathology AMLD workshop 2021☆21Updated 3 years ago
- Set of Dockerfile to build a ready-to-use OMERO server☆15Updated 7 years ago
- napari plugin for cellpose (see www.cellpose.org) - an anatomical segmentation tool☆48Updated 3 weeks ago
- AICS ML Segmentation (One-Way) Mirror☆27Updated 3 years ago
- Kaibu -- a progressive web app for visualizing and annotating multi-dimensional images.☆31Updated 7 months ago
- ☆31Updated 3 weeks ago
- ☆66Updated last week
- native Python dataclasses for the OME data model☆53Updated this week
- Supporting data files, documentation, and updated tips for the Cell Painting protocol☆19Updated 2 years ago
- MethodsJ2☆14Updated 2 years ago
- ☆19Updated last year
- GPU-accelerated image processing in QuPath☆15Updated 3 years ago
- A framework for easy application of established machine learning techniques on large, multi-dimensional images.☆46Updated this week
- Track cells and build cell lineages☆28Updated 3 months ago
- Python program to generate NetworkX graphs from segmented images.☆15Updated last year
- ☆21Updated last year
- ☆21Updated 3 years ago