MICCAI2018 GIANA challenge

Got the best meritorious contribution award and overall 2nd place out of 21 teams from different universities and companies

MICCAI2018 GIANA challenge

Got the best meritorious contribution award and overall 2nd place out of 21 teams from different universities and companies

We participated in gastrointestinal image analysis (GIANA) challenge for detection of polyps from colonoscopy videos, and vascular lesion and inflammation diseases detection from CVE videos. The challenge is organized along international conference on medical image computing and computer assisted intervention (MICCAI2018). A new set of training dataset is provided and ground truth data for the test dataset was kept with the challenge organizers.

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Ahmed Mohammed

My research interests include medical imaging, computer vision, machine learning.

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