Name: DeepMicroscopy - Generating Deep Insights from Deep Learning in Microscopy
Type: Organization
Bio: This is our central home for all our digital pathology projects, focusing on deep learning.
Location: Erlangen, Germany
Blog: https://deepmicroscopy.org
DeepMicroscopy - Generating Deep Insights from Deep Learning in Microscopy's Projects
Delete the label from a whole-slide image
Detection of Bi- and Multinucleated Cells in Histology Images of Canine Cutaneous Mast Cell Tumor
Code for our BVM workshop submission "Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays"
An open source online platform for collaborative image labeling of almost everything
Repository for EXACT QueueRunner, a service that executes processing for jobs available on EXACT.
Rest API sync with the EXACT Server https://github.com/ChristianMarzahl/Exact
Felinae Evaluation with Layperson and ML Interaction EXperience Dataset (FELIX)
Automatic Subtyping for Atypical and Typical Mitosis using a Hierarchical Anchor-Free Object Detector
Ressources of histopathology datasets
MItosis DOmain Generalization Challenge 2021/2022
Evaluation container for the MIDOG 2021 challenge on grand-challenge.org
LaTeX Template for short papers for the MIDOG challenge, based upon the HenriquesLab bioRxiv template
Reference implementation of domain-adversarial training on a RetinaNet (to use as template in the MIDOG challenge)
A large, multi-domain mitotic Figure Dataset
Large-Scale Canine Cutaneous Mast Cell Tumor Dataset for Mitotic Figure Assessment on Whole Slide Images
Large-Scale Canine Mammary Carcinoma Dataset for Mitotic Figure Assessment on Whole Slide Images
Adapted nnUNet framework with additional features to suit the requirements for pathology applications
C library for reading virtual slide images
Automatic cleaning of the QUILT-1M pathology dataset
SlideRunner is a tool for massive cell annotations in whole slide images
Data access routines (database and images) for SlideRunner