AI-supported Medical Image Annotation Platform Update

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Explore the latest updates on the AI-supported Medical Image Annotation Platform presented by a group of students. Learn about its goal, workflow, and innovative features for medical image analysis. Contact information included for further details.

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Uploaded on Jun 28, 2025 | 0 Views

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FGAI4H-Q-039 Douala, 6-9 December 2022 Source: HPI Title: OCI update - AI-supported Medical Image Annotation Platform Purpose: Discussion Tony Arnold Daniel de Jonge Konrad Gerlach Richard Keil Tim Riedel Johanna Schlimme Janis Wehen Contact: E-mail: bp-lippert-team@lists.myhpi.de Abstract: This PPT contains a presentation on AI-supported Medical Image Annotation Platform as an update to OCI.

Bachelor Project AI-supported Medical Image Annotation Platform 07.12.2022 Tony Arnold, Daniel de Jonge, Konrad Gerlach, Richard Keil, Tim Riedel, Johanna Schlimme, Janis Wehen

Introduction 7 students in the 5th bachelor semester (IT-Systems Engineering) Project duration: ~9 months (until July 2022) 2 days per week working until March, after that full time Bachelor thesis will be based on the project contact: bp-lippert-team@lists.myhpi.de Bachelor Project AI-supported Medical Image Annotation Platform Goal: To provide a flexible human-in-the-loop AI solution for easy use of ML models on medical image data along with comfortable project management for data and model versioning. 07.12.2022 Chart 3

AI-supported Annotation Service supports existing Visian frontend allows training models and automatically using them for inference on existing datasets leads to an iterative workflow which allows researchers to generate and directly re-use medical image annotations ability to easily self-host and deploy allows easy integration with 3rd party services to provide custom annotation functionality (e.g. FG- AI4H Platform) Bachelor Project AI-supported Medical Image Annotation Platform 07.12.2022 Chart 4