DAISYlabs is a joint effort of PhD, MSc and MD students of the University Medical Center Hamburg-Eppendorf (UKE) and the Hamburg University of Technology (TUHH) to establish a deep learning platform for biomedical image processing that allows efficient collaboration and knowledge exchange between UKE and TUHH working groups in the field of biomedical imaging and image processing. It is funded by Forschungszentrum Medizintechnik Hamburg ( fmthh ).
We work on developing AI systems for medical image processing problems.
1st rank of 16 unique teams in Task 2: Lesion diagnosis with images and metadata
1st rank of 64 unique teams in Task 1: Lesion diagnosis with images only
2nd rank of 77 unique teams in Task 3: Lesion Diagnosis
7th rank of 17 unique teams in Task 4: Gross Target Volume segmentation of lung cancer
7th rank of 40 unique teams in Task 2: Three Label Segmentation
8th rank of 17 unique teams in Task 3: Organ-at-risk segmentation from chest CT scans
11th rank of 77 unique teams in Task 1: Lesion Boundary Segmentation
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