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Deep Bio Inc. ranks 1st in the CAMELYON17 Grand Challenge from post submitting in early February 2019
2019.02.12
DeepBio

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The Deep Bio research team set the record in the Camelyon Challenge 17’ currently positioning them in first place. The Camelyon17 Grand Challenge is a global competition organized by the Diagnostic Image Analysis Group (DIAG) and the Radboud University Medical Center to evaluate algorithms that perform automated detection of breast cancer metastases in whole-slide images of lymph node sections.

The Deep Bio research team used their own unique artificial intelligence training method to detect metastasis and predict pN-stage from lymph node histological slides. Their proposed method achieved a kappa score of 0.9570, setting them in first place of the challenge.


ca-result-image 2019.03.28 updated