Modular Deep Active Learning Framework for Image Annotation: A Technical Report for the Ophthalmo-AI Project

no code implementations • 22 Mar 2024 • Md Abdul Kadir, Hasan Md Tusfiqur Alam, Pascale Maul, Hans-Jürgen Profitlich, Moritz Wolf, Daniel Sonntag

While MedDeepCyleAL can be applied to any kind of image data, we have specifically applied it to ophthalmology data in this project.

Active Learning Image Segmentation +2

A Case Study on Pros and Cons of Regular Expression Detection and Dependency Parsing for Negation Extraction from German Medical Documents. Technical Report

no code implementations • 20 May 2021 • Hans-Jürgen Profitlich, Daniel Sonntag

We describe our work on information extraction in medical documents written in German, especially detecting negations using an architecture based on the UIMA pipeline.

Dependency Parsing Negation

The Skincare project, an interactive deep learning system for differential diagnosis of malignant skin lesions. Technical Report

no code implementations • 19 May 2020 • Daniel Sonntag, Fabrizio Nunnari, Hans-Jürgen Profitlich

However, the main contribution is a diagnostic and decision support system in dermatology for patients and doctors, an interactive deep learning system for differential diagnosis of malignant skin lesions.