Nordic Symposium on Digital Pathology

The Nordic symposium on digital pathology (NDP) was created to promote knowledge exchange across stakeholders in health care, industry, and academia. In 2019, the 6th NDP installment will take place in Linköping, Sweden, promoting development and collaboration in digital pathology for the benefit of routine care advances. We look forward to welcoming close to 200 participants from more than 10 countries!

In 2019, the NDP conference will be co-organized with the Swedish national Spring Meeting for Pathology. Thus, guests of both conferences are welcome to attend seminars and lectures from both the NDP conference and the Spring Meeting at their leisure.
 

Keynote Speakers
The Pathologist's Role in AI
Liron Pantanowitz, MD, Professor of Pathology and Biomedical Informatics
University of Pittsburgh

Applications of Machine Learning in Clinical Practice
Geert Litjens, Assistant Professor in Computational Pathology
Radboud University Medical Center, Nijmegen

Invited Speakers
Dutch National Image Exchange Network PIE
Katrien Grunberg, MD, Professor of Pathology
Radboud University Medical Center, Nijmegen

Genomic Medicine Sweden
Richard Rosenquist Brandell, Professor of Clinical Genetics
Karolinska Institutet, Stockholm 

Color Management in Digital Pathology
Richard Salmon, PhD, Product Manager at FFEI
Hemel Hempstead, United Kingdom
 

Open Innovation Session

Session 1

Deep Learning Data Augmentation Approach to Improve Cancer Segmentation Performance across Different Scanners
Alessia De Biase1, Nikolay Burlutskiy1, Nicolas Pinchaud1, Anders Eklund2
1Context Vision, 2Department of Biomedical Engineering, Linköping University

Up-converting Nanoparticles as a Tool for Histopathological Tissue Evaluation with Multiplexing and Machine Learning Potential
Krzysztof Krawczyk
Lumito AB, Lund

Measuring Digital Adoption with Usage Logs

Jesper Molin1,2, Sofia Jarkman1,3, Andreas Vendel2
1CMIV, Center for Medical Image Science and Visualization, Linköping University, 2Sectra AB, Linköping, 3Department of Anatomical Pathology, Region Östergötland
 

Session 2

Deep learning algorithm for quantification of tall cells in papillary thyroid carcinoma

Sebastian Stenman,1,2 Päivi Siironen,3 Johan Lundin,1,4 Caj Haglund,3,5 Johanna Arola.2,6
1Institute for Molecular Medicine Finland – FIMM, 2Department of Pathology, Medicum, University of Helsinki, 3Department of Surgery, Helsinki University Hospital, 4Department of Public Health Science, Karolinska Institutet, 5Research Programs Unit, Translational Cancer Biology, University of Helsinki, 6Huslab Pathology, Helsinki University Hospital.

Domain shift and cross-dataset generalization in deep learning for histopathology

Karin Stacke1;3, Gabriel Eilertsen1, Jonas Unger1, and Claes Lundström2;3
1Department of Science and Technology, Linköping University, 2Center for Medical Image Science and Visualization, Linköping University, 3 Sectra AB, Linköping

Improving breast cancer histologic grading using deep learning

Yinxi Wang1, Balázs Ács2, Stephanie Robertson2,3, Johan Hartman2,3,4, Mattias Rantalainen1
1Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, 2Department of Oncology-Pathology, Karolinska Institute, Stockholm, 3Department of Clinical Pathology and Cytology, Karolinska University Laboratory, Stockholm, 4Stockholm South General Hospital, Stockholm

Pathologist-level Grading of Prostate Biopsies using Artificial Intelligence

Peter Ström, Kimmo Kartasalo, Henrik Olsson, Leslie Solorzano, ISUP Pathology Imagebase Expert Panel, Pekka Ruusuvuori, Carolina Wählby, Henrik Grönberg, Mattias Rantalainen, Lars Egevad and Martin Eklund
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet
Faculty of Medicine and Health Technology, Tampere University
Department of Information Technology, Uppsala University

Network Analysis of p73 Expression by Immunohistochemistry in Rectal Cancer

Tuan D. Pham1, 2, Chuanwen Fan3, 4, Daniella Pfeifer3, Hong Zhang5, Xiao-Feng Sun3
1Department of Biomedical Engineering, Linkoping University, Linkoping,
2Center for Medical Image Science and Visualization, Linkoping University, 3Department of Oncology & Department of Clinical and Experimental Medicine, Linkoping University, 4Institute of Digestive Surgery, West China Hospital, Sichuan University, Chengdu, People's Republic of China, 5Department of Medical Sciences, Orebro University

Practical Information
The NDP conference is held on May 16th, 2019 at Konsert & Kongress in Linköping, Sweden.
Find the location
– More about Linköping

Program
Download the program as PDF
The symposium will be held in the lecture hall Operan except for the talk by Richard Rosenquist Brandell, which is a joint lecture with the Spring meeting and therefore will be held in Crusellhallen.

Registration
Register for NDP 2019 here

The early registration fee for NDP is 1000 SEK excl VAT. From March 10th the price will be 1300 SEK.

Questions about the Nordic symposium on digital pathology 2019?
Contact Marie ​Waltersson at marie.ahnstrom.waltersson@liu.se