Business Overview

Jun 2018
Date Founded
Active
Operating Status
3
Employees

DeePathology.ai is all about a Pathologist Assistant System. We develop state-of-the-art algorithms to help pathologists perform day-to-day tedious, yet important tasks and bring the power of AI to pathology. Who we are: DeePathology was founded in 2018 after graduating from the Roche Digital Health Innovation Lab in Munich. We aim to bring rapid and accurate diagnoses for patients and enhance the workflow of pathologists worldwide. Our collaborators: We are proud to collaborate with the Institute for Pathology Cologne, Germany. It was the synergistic team work with Sebastian Klein, M.D. and Prof. Reinhard Buttner, M.D. from the Institute for Pathology Cologne, Germany that led to the successful development of the first ever automated Helicobacter Pylori detector Software on gastric biopsies.

AI Technology Stack

Vertical AI
AI Application
AI Hardware
GPU

Research

Multiple Instance Learning is a form of weakly supervised learning in which the data is arranged in sets of instances called bags with one label assigned per bag. The bag level class prediction is derived from the multiple instances through application of a permutation invariant pooling operator on instance predictions...

Self-Supervised Similarity Learning for Digital Pathology

Using features extracted from networks pretrained on ImageNet is a common practice in applications of deep learning for digital pathology. However it presents the downside of missing domain specific image information. In digital pathology, supervised training data is expensive and difficult to collect. We propose a self-supervised method for feature...

Virtualization of tissue staining in digital pathology using an unsupervised deep learning approach

Histopathological evaluation of tissue samples is a key practice in patient diagnosis and drug development, especially in oncology. Historically, Hematoxylin and Eosin (H&E) has been used by pathologists as a gold standard staining. However, in many cases, various target specific stains, including immunohistochemistry (IHC), are needed in order to highlight...

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Startup Snapshot

Operating Status
Active
AI Team Size
0
Total Funding
$0 Million
Founded
June 2018

Competitors

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STARTUPHUB.AI FEATURED CONTENT

This Israeli Startup Is Using AI To Revolutionize Pathology
This Israeli Startup Is Using AI To Revolutionize Pathology
February 26, 2019

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