ISLES: Ischemic Stroke Lesion Segmentation Challenge 2015

Palkinto: Palkinnot ja kunnianosoitukset

Kuvaus

Our team (Hanna-Leena Halme, Antti Korvenoja, Eero Salli) was ranked 3rd place in the ISLES/SISS challenge.

Ischemic Stroke Lesion Segmentation (ISLES) is a medical image processing
challenge aiming to provide a platform for a fair and direct comparison of methods for ischemic stroke lesion segmentation from multi-spectral MRI images. A public dataset of diverse ischemic stroke cases and a suitable automatic evaluation procedure was made available. Researchers working in the field can download the data, apply their methods and then upload the results for an automatic on-line evaluation. A continuously updated table allows to directly compare each algorithms against all other submission.
The challenge comprises of two distinct sub-challenge:
SISS: Sub-acute ischemic stroke lesion segmentation
SPES: Acute stroke perfusion lesion estimation
Tunnustuksen arvoKansainvälinen