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Our paper at PubMed: The first MICCAI challenge on PET tumor segmentation

Our paper at PubMed: The first MICCAI challenge on PET tumor segmentation

10 09 2018 | Publications

Abstract INTRODUCTION: Automatic functional volume segmentation in PET images is a challenge that has been addressed using a large array of methods. A major limitation for the field has been the lack of a benchmark dataset that would allow direct comparison of the...

Our paper at arxiv.org: Machine learning methods for accurate delineation of tumors in PET images

02 11 2016 | Publications

Our paper published: Machine learning methods for accurate delineation of tumors in PET images Jakub Czakon, Filip Drapejkowski, Grzegorz Zurek, Piotr Giedziun, Jacek Zebrowski, Witold Dyrka (Submitted on 29 Oct 2016) In oncology, Positron Emission Tomography imaging...

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