AIRA Matrix Wins Second Place in the Global Gleason 2019 Challenge at #MICCAI2019

AIRA Matrix wins second place in the global Gleason 2019 Challenge at #MICCAI2019. The challenge involved automating the Gleason score, a highly reliable grading method for classifying the histologic characteristics of Prostate cancer. Our proposed deep learning algorithm will help improve the accuracy, precision and speed of Gleason’s scoring. These improvements, will enable better prognosis of prostate cancer and help guide the right therapies.

Mumbai, October 14, 2019 – AIRA Matrix proudly announces that it has achieved second place in the global Gleason 2019 Challenge at #MICCAI2019. We are happy to be on the winners’ podium in our first attempt!

The challenge involved automating the Gleason score, a highly reliable grading method for classifying the histologic characteristics of #Prostatecancer. #Prostatecancer is the second most commonly occurring cancer in men and the fourth leading cancer overall with an estimated 1.3 million new cases in 2018.

We proposed a novel #deeplearning algorithm for pixel-level semantic segmentation and achieved superior performance over current approaches. Our approach also provided for high intra class and less inter class variation in histopathology images. Our algorithm will help improve the accuracy, precision and speed of Gleason’s scoring.  These improvements will enable better prognosis of prostate cancer and help guide the right therapies. With this success, we continue our efforts to apply artificial intelligence and machine learning in life sciences and advanced healthcare technologies.

Some important links:

Challenge details: https://gleason2019.grand-challenge.org/Home/

Results: https://gleason2019.grand-challenge.org/Results/

MICCAI conference: https://www.miccai2019.org/

#MICCAI2019 #GleasonScoring #ProstateCancer #lifesciences #Grading #deeplearning #imageanalysis #healthcaretechnology

About AIRA Matrix:

AIRA Matrix provides Artificial Intelligence products and services to the Life Sciences industry. Our capabilities include domain expertise in pathology and micro-biology, as well as image processing, deep learning and machine learning techniques.

Offerings from the company’s deep learning platform AIRAVAT include:

• Pre-built deep-learning based feature identification applications
• Workflow efficiency solutions for histomorphometry, tissue triage, grading and inferencing
• Ready networks for easy DIY deep learning for the pathologist

The platform is vendor-neutral, supports collaboration across teams and can be easily integrated with other digital laboratory solutions.

For more information on AIRA Matrix, please visit www.airamatrix.com or contact Dr. Uttara Joshi at info@airamatrix.com.

Source: AIRA Matrix