Computational pathology software for automated tumour detection

Royal Philips has announced the latest release of TissueMark, which now supports region of interest detection for the majority of molecular testing and helps research laboratories improve the accuracy of tumour estimation. The new version, which was showcased at the 30th European Congress of Pathology, leverages deep learning artificial intelligence (AI) to aid in prostate and ovarian tumour tissue identification.

Prostate cancer is the second deadliest cancer for men and ovarian cancer is the fifth deadliest for women. Given the severity of these two cancers, it is increasingly important that pathologists are equipped with the technology they need to further their research in these important areas. Innovative computational solutions can help pathologists improve efficiency in the research setting, which will ultimately help support precision medicine and enhance the speed and accuracy of diagnosis.

In addition to providing tumour sufficiency guidance for lung histology, lung cytology, colon and breast tissue samples in 60 seconds, the updated TissueMark software now provides this guidance to whole-slide images (WSI) of prostate adenocarcinoma and high-grade serous ovarian carcinoma.

www.philips.com/digitalpathology

 

Other news

Upcoming Events

Challenges in the clinical biochemistry laboratory and beyond

The Royal College of Pathologists
28 February 2019

British Society for Haematology 59th Annual Scientific Meeting

SEC Glasgow
1-3 April 2019

Focus 2019

SEC Glasgow
1-3 May 2019

Respiratory Microbiology - A Day of Inspiration

Royal Air Force Museum, Hendon
16 May 2019

Clinical and Laboratory Haemostasis 2019

The Atrium Conference Centre, Sheffield Hallam University
5-6 June 2019

Latest Issue

Pathology In Practice

Pathology In Practice

Dec 2018

Molecular diagnostics and LAMP technology

Register now to apply for regular copies of Pathology In Practice and free access to premium content, as well as our regular newsletters.