ExB Celebrates Success at International Competitions

ExB’s top-tier results in the Camelyon Challenge at ISBI 2016 proves that its image analysis technology is able to handle extremely complex diagnostic tasks. The technology compared systems for identifying cancer in lymph node sections in two tasks. ExB ranked overall second out of 23 participants, drawn from over 200 applicants, above all other commercial participants in both tasks and only behind a joint submission from Harvard Medical School and MIT.

High demand for tissue section analysis makes it one of pathologists’ most time-consuming tasks, and a successful technological solution could save doctors time as well as making tests more consistent and objective.

One platform,
endless possibilities.

ExB is an Intelligent Document Processing platform that transforms unstructured data from any type of document into structured results. Our AI-based software can not only extract all relevant information from your documents, but also understand them. This allows you to automate your processes and save both time & money, while improving your customer experience and employee satisfaction. Win-win.

Written by:

Dr. Ramin Assadollahi

Gründer ExB

Dr. Ramin Assadollahi is a computational linguist, inventor and clinical psychologist and is considered one of the AI thought leaders in Germany.

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April 24, 2016

| Other

Research Hospital Charité using ExB Technology to study Fibrosis treatments

Berlin-based university hospital Charité is using cutting edge ExB technologies in its fibrosis research, in order to automate the analysis of tissue sections for early recognition of pathological changes. Doctor-performed histopathological analysis of liver biopsy samples is currently the gold standard for fibrosis, but is also very time-consuming.

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April 1, 2016

| Press

ExB Wins Competition for Automated Evaluation of Melanoma Images

Following ExB’s sensational performance at the MICCAI/GlaS Challenge last year, the company’s image processing technology continues its winning streak in international competitions at the ISIC Challenge for automated skin lesion analysis and melanoma detection.

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July 16, 2015

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MultiLing 2015: ExB takes high rank in an international Automated Text Summarization competition

Computational linguists and engineers of the Munich-based ExB Group have once again demonstrated the power of their intelligent solutions for Cognitive Computing at the prestigious MultiLing competition for Automated Text Summarization.