Deliverables & Reports

Bigpicture partners have worked together to develop and launch the Bigpicture website. It is our ‘front door’ for the outside world, aiming it to be as informative, representative and attractive as possible to keep all involved stakeholders engaged and widen the community throughout the project duration and beyond.

Work package 1 | Lead beneficiary: Radboudumc

This report aims to establish the initial requirements on infrastructure as understood by the academic and industrial partners of Bigpicture, to relate them to the proposed high-level architecture, and to outline suggestions on what developments may be necessary in order for these services to be used or adapted to support digital pathology.

Work package 2 | Lead beneficiary: Linköping University

This report will provide users with a baseline understanding of the status and functionality of the pilot system, such that users can know what to expect, and to enable productive use of the system.

Work package 2 | Lead beneficiary: Linköping University

This report describes the services that have been put in place in the pilot system to enable direct access to datasets and algorithms, enabling execution of potentially untrusted and confidential code on potentially sensitive data, without disclosing information from either.

Work package 2 | Lead beneficiary: Linköping University

This report describes the services that have been put in place in the pilot system to enable direct access to datasets and algorithms, enabling execution of potentially untrusted and confidential code on potentially sensitive data, without disclosing information from either.

Work package 2 | Lead beneficiary: Linköping University

This report describes experiences from operating the Bigpicture repository pilot system for one year, implementing successive adaptations to needs in digital pathology as identified by other Bigpicture work packages.

Work package 2 | Lead beneficiary: Linköping University

This report describes how the repository infrastructure has been able to meet Bigpicture hardware scaling needs to date, and makes estimates of our ability to meet projected future needs.

Work package 2 | Lead beneficiary: Linköping University

This report outlines the methods to establish and employ a sustainable Node Network Organisation Model (NNOM) responsible for mediating and collecting datasets from beneficiaries and third parties (Slide Contributing Third Parties, SCTP) and to contribute them to the Bigpicture data repository.

Work package 3 | Lead beneficiary: Medical University Vienna

This report describes the first versions of the defined and collected datasets for the Bigpicture repository. Also, it describes the underlying work procedures that have been performed in the processes to define datasets in terms of cohorts, storage file format standards, metadata schema and standards and metadata file storage standard.

Work package 3 | Lead beneficiary: Region Östergötland

This report describes the developing of user requirement specification for Cytomine, and aims at establishing precise requirements for end-user tools for accessing, annotating and mining digital slides.

Work package 4 | Lead beneficiary: University of Liège

This report describes the first version of the unified open digital slide and annotation format and the underlying investigations that have been performed when designing this format.

Work package 4 | Lead beneficiary: SECTRA AB

To provide a uniform format for the Whole Slide Images (WSIs) to be included in the Bigpicture repository, it has been decided that all images should be stored in the vendor neutral DICOM format. To enable submission of such images to the Bigpicture repository, a converter has been developed, capable of reading WSIs in common proprietary formats and converting them to DICOM.

Work package 4 | Lead beneficiary: SECTRA AB

The objective of this report is to identify legal rules applicable to the initial contributors of Whole Slide Images (WSIs) and accompanying Metadata in the Bigpicture project in the scope that those rules may impact their provision and use within the project.

Work package 5 | Lead beneficiary: Timelex

As a preliminary step to establishing a regulatory dialogue about the use of digital pathology in the nonclinical area, a review of the current standards and Good Laboratory Practice (GLP) requirements for whole slide image and artificial intelligence use in nonclinical studies has been conducted.

Work package 5 | Lead beneficiary: Pfizer

The field of digital pathology is embedded in the highly regulated health sector. There are currently many guidelines available, both on national and international level, that can be considered.
Additionally, there are numerous standardization activities especially on the international and European level that are related to digital pathology.

Work package 5 | Lead beneficiary: Deutsches Institut für Normung (DIN)

Key Bigpicture community stakeholders can be both data users and data contributors, and vary from clinical pathologists, to researchers to commercial parties. In order to initiate community engagement, we establish online platforms and mechanisms of community engagement.

Work package 6 | Lead beneficiary: Radboudumc