Philips and LabPON Plan to Create World's Largest Pathology Database of Annotated Tissue Images for Deep Learning

PhilipsRoyal Philips (NYSE: PHG, AEX: PHIA) and LabPON, the first clinical laboratory to transition to 100% histopathology digital diagnosis, have announced its plans to create a digital database of massive aggregated sets of annotated pathology images and big data utilizing Philips IntelliSite Pathology Solution (1). The database will provide pathologists with a wealth of clinical information for the development of image analytics algorithms for computational pathology and pathology education, while promoting research and discovery to develop new insights for disease assessment, including cancer.

Deep learning algorithms have the potential to improve the objectivity and efficiency in tumor tissue diagnosis. In recent years, 'deep learning' techniques for image analysis have quickly become the state of the art in computer vision and has surpassed human performance in a number of tasks (2). The challenge for executing deep learning techniques is having access to a database with sufficient high volume and high quality data from which to develop the algorithms. As one of the largest pathology laboratories in the Netherlands, LabPON will contribute its repository of approximately 300,000 whole slide images (WSI) they prospectively create each year to the database. This will contain de-identified datasets of annotated cases that are manually commented by the pathologist, and will comprise of a wide variety of tissue and disease types, as well as other pertinent diagnostic information to facilitate deep learning.

"Deep learning focuses on the development of advanced computer programs that automatically understand and digitally map tissue images in considerable detail: The more data available, the more refined the computer analysis will be," said Peter Hamilton, Group Leader Image Analytics at Philips Digital Pathology Solutions. "Together, LabPON and Philips have the competence and skills to realize this."

During a time where the pathologist shortage is mounting and cancer caseloads are increasing (3,4), the accurate diagnosis and grading of cancer has become increasingly complex, placing significant pressures on pathology services. Technologies such as computational pathology, could help pathologists with tools to work in the most efficient way possible.

"The role of the pathologist remains important by making the definitive diagnosis, which has a high impact on the patient's treatment. Software tools could help to relief part of the pathologists' work such as identifying tumor cells, counting mitotic cells or identifying perineural and vaso-invasive growth, as well carrying out measurements in a more accurate and precise way," said Alexi Baidoshvili, pathologist at LabPON. "This ultimately could help to improve the quality of diagnosis and make it more objective."

Next to the development of computational algorithms for diagnostic use, Philips intends to make available the database to research institutions and other partners through its translational research platform. This could enable selected parties to interrogate and combine massive datasets with the goal to discover new insights that ultimately could be translated into new personalized treatment options for patients.

About Royal Philips
Royal Philips (NYSE: PHG, AEX: PHIA) is a leading health technology company focused on improving people's health and enabling better outcomes across the health continuum from healthy living and prevention, to diagnosis, treatment and home care. Philips leverages advanced technology and deep clinical and consumer insights to deliver integrated solutions. Headquartered in the Netherlands, the company is a leader in diagnostic imaging, image-guided therapy, patient monitoring and health informatics, as well as in consumer health and home care. Philips' health technology portfolio generated 2016 sales of EUR 17.4 billion and employs approximately 71,000 employees with sales and services in more than 100 countries.

1. Philips IntelliSite Pathology Solution is CE-IVD marked for use in primary diagnosis. In the United States, the Philips IntelliSite Pathology Solution pending review of a request for de novo classification.
2. Kaiming He Xiangyu et al. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification. And LeCun, Yann, Yoshua Bengio, and Geoffrey Hinton. "Deep learning." Nature 521, no. 7553 (2015): 436-444.
3. The Royal College of Pathologists, https://www.rcpath.org/profession/workforce/workforce-planning.html, Accessed December 2016.
4. International Agency for Research on Cancer and Cancer Research UK. World Cancer Factsheet. Cancer Research UK, London, 2014.

Most Popular Now

Virtual Humans Help Aspiring Doctors Lea…

For medical student Katie Goldrath, the first time delivering difficult health news came when she had to tell a young woman named Robin and her mom, Delmy, that Robin had...

Read more

Siemens Healthineers Presents Solutions …

Under the motto "More Networking. More Digitalization. More Value" Siemens Healthineers, the separately managed healthcare business of Siemens AG, is presenting its solutions for the digitalization of healthcare at the...

Read more

'Smart Contact Lens Sensor' for Diabetic…

A recent study, affiliated with Ulsan National Institute of Science and Technology (UNIST), South Korea, has proposed the possibility of in situ human health monitoring simply by wearing a contact...

Read more

ECDC Report Shows Strong Potential of E-…

Twenty one EU/EEA countries have developed or are in the process of developing systems to digitally record information about vaccination, according to a new "ECDC survey report on immunisation information...

Read more

2017 eHealth Competition Awards SilverCl…

The eHealth Competition is an initiative that rewards the best digital health solutions produced by SMEs across Europe. This edition has been supported by Astrazeneca, Ship2B and Younoodle. This competition...

Read more

Devicare Raises 3 Million Euros in its C…

Devicare, a company specializing in innovative medical devices for chronic home care patients under Remote Patient Monitoring (RPM), has closed out a seed round of 3 million euros. This funding...

Read more

Successful Conclusion to conhIT 2017, th…

25 - 27 April 2017, Berlin, Germany. As conhIT, which took place from 25 to 27 April in Berlin, came to a close, 500 exhibitors, 9,500 participants from around the world...

Read more

Scopis Introduces the First Mixed-Realit…

Scopis, a company specializing in surgical navigation and medical augmented and mixed reality technologies, announced today the launch of its newest development, the Holographic Navigation Platform for use in surgery...

Read more

IMS MAXIMS Launches Vital Signs Mobile A…

Clinical technology specialist IMS MAXIMS will be launching its fully integrated vital signs application at eHealth Week on 3rd and 4th May in Olympia, London. Delegates will be the first...

Read more

Immunisation Information Systems in the …

Immunisation information systems (IIS) are defined as confidential, population-based, computerised databases that record all immunisation doses administered by participating providers to persons residing within a given geopolitical area. At the...

Read more

Abbott Announces CE Mark and First Use o…

Abbott (NYSE: ABT) today announced CE Mark and first use of the new Confirm RxTM Insertable Cardiac Monitor (ICM), the world's first smartphone compatible ICM that will help physicians identify...

Read more

m.Doc Connects Mobile Ultrasound to its …

Holistic medical services at the "point of care" - anytime and anywhere! That is what the Cologne-based start-up m.Doc is promising to deliver, via software that enables the transfer of...

Read more
(HEALTH IT) SPACE - Take a look at who has just Joined