ECDP 2025

Congress / June 25, 2025 - June 28, 2025

Unleashing the Power of Digital Pathology: Innovations, Insights, and Collaboration

The 21st European Congress of Digital Pathology will take place from June 25–28 at the Palau de Congressos de Barcelona, in the heart of Barcelona, Spain.
ECDP is a forum for professionals who want to explore the latest developments in digital pathology, foster collaboration and help shape the future of healthcare. Pathologists, image analysis engineers, quality control specialists, researchers and industry leaders will have the opportunity to participate in insightful discussions and explore new approaches, challenges and breakthroughs in digital pathology.
ECDP 2025 promises a wealth of knowledge on the latest research, implementation of digital pathology, use of algorithms and technological advances through innovative presentations from AI-driven diagnostics to personalized medicine.

Our experts look forward to welcoming you at the joint booth of Fraunhofer Institute for Digital Medicine MEVIS and Fraunhofer Institute for Integrated Circuits IIS (booth 9). Fraunhofer IIS at ECDP 2025

Fraunhofer MEVIS showcases Tissue Navigator, a real-time, registration-based navigation system for synchronized visualization of histological stains, and Image Foundation Models for Digital Biomarkers, enabling scalable, multimodal feature extraction and personalized diagnostics in digital pathology — complemented by two expert talks and a poster as part of the scientific program.

Talk

Till Nicke

"An end-to-end whole slide image foundation model trained with slide-level labels from open-source data"

(Authors: Till Nicke, Daniela Schacherer, Jan Raphael Schäfer, André Homeyer, Johannes Lotz, Andrea Schenk, Henning Höfener)

Session: Oral Free presentations II

Thursday, June 26, 16:55

Room 6

Talk

Jan-Philipp Redlich

"Foundation model-based survival prediction of glioblastoma adjusted to evolving tumor classification"

(Authors: Jan-Philipp Redlich, Friedrich Feuerhake, Joachim Weis, Nadine S. Schaadt, Sarah Teuber-Hanselmann, Christoph Buck, Sabine Luttmann, Andrea Eberle, Stefan Nikolin, André Homeyer)

Session: Oral Free presentations III

Friday, June 27, 11:15

Room 6

Talk

Till Nicke

"Foundation models for federated prostate cancer risk stratification"

(Authors: Till Nicke, Jan Raphael Schäfer, Tom Bisson, Nadine Flinner, Tingyan Xu, Lars Ole Schwen, Tim-Rasmus Kiehl, Sefer Elezkurtaj, Marco Eichelberg, Peter Wild, Norman Zerbe, Horst Hahn, Johannes Lotz)

Session: Oral Free presentations IV

Friday, June 27, 14:45

Room 6

Poster

Johannes Lotz

P131: "Accelerating Routine Pathology Workflow with Digital Image Registration"

(Authors: Johannes Lotz, Nick Weiss, Daniel Budelmann, Arndt Hartmann, Christian Matek, Carol Geppert)

Event details

Location

Palau de Congressos de Barcelona
Av. de la Reina Maria Cristina, s/n, Sants-Montjuïc, 08004 Barcelona, Spain

Date

June 25, 2025 - June 28, 2025

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Image Foundation Models for Digital Biomarkers

The authors thank the National Cancer Institute for access to NCI's data collected by the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial.

Our experts have developed and implemented a supervised training approach that achieves results while using only 1% of the computational resources and energy. This approach makes training foundation models significantly more cost- and energy-efficient.

Foundation models are AI-based models that are pre-trained with a variety of training data to learn general patterns or features. In histopathology, foundation models are the basis for new image-based biomarkers, e.g. for predicting patient risk or therapy response, which will help to reduce costs in personalized medicine.

At ECDP 2025, we show how foundation models can be used to train AI on clinical outcome data and how these models can generate new insights into image-based biomarkers.

More info: Learning with small amounts of data

Tissue Navigator

Tissue Navigator offers a navigation system that enables pathologists to perform digital histology-based diagnosis in clinical practice more efficiently and reliably.
It allows pathologists to instantly navigate to the same location across differently stained tissue sections and visualizing the registered stains simultaneously.
First studies reveal that Tissue Navigator shortens diagnosis time by over one minute per case in breast carcinoma.

The navigation is based on a state-of-the-art image registration algorithm. Numerical optimization methods ensure robustness against a wide range of stains and image qualities. Tissue Navigator seamlessly integrates into existing image viewer and reporting software within the digital pathology workflow. Thanks to the live-deformation technology, no additional storage space is required for deformed slides.

Discover how Tissue Navigator enhances clinical practice by enabling precise, efficient digital pathology workflows. Join us at ECDP 2025 to learn more!

Watch now: Demo video