Interpretable and Interactive Disease Diagnosis Using Collaborative Learning of Segmentation and Classification

Medical image analysis encompasses two crucial research areas: disease grading and fine-grained lesion segmentation. Although disease grading often relies on fine-grained lesion segmentation, they are usually studied separately. Disease severity grading can be approached as a classification problem, utilizing image-level annotations to determine the severity of a medical condition. On Read more…

Fine-tuning BERT models for summarizing German radiology findings

Figure 1: The interface guides annotators in human evaluation. Snippet A displays the original oncology report with highlighted sentences extracted automatically. Snippet C lets annotators choose the model for generation, showing its architecture. The middle section (B) presents the chosen model’s generation results, with green words denoting the most learned Read more…

Ophthalmo-AI

Funding period 03/2021 – 03/2024 Ophthalmo-AI focuses on the two most common causes of blindness in people aged 50 and older: Age-related macula degeneration (AMD) and diabetic retinopathy (DR). An intelligent assistance system is under development to support ophthalmologists using image data and clinical data to reach a correct medical Read more…