Segmentation of thoracic organs at risk in CT images using localization and organ-specific CNN

Vladimir Kondratenko, Dmitry Denisenko, Artem Pimkin, Mikhail Belyaev

    Research output: Contribution to journalConference articlepeer-review

    2 Citations (Scopus)

    Abstract

    Segthor19 is the competition timed to the conference IEEE ISBI 2019 that addresses the problem of organs at risk segmentation in Computed Tomography (CT) images. In this paper, we describe our best solution based on convolutional neural networks and challenges that we faced during the competition. Applying this approach we finished on the 24th place in the leaderboard.

    Original languageEnglish
    JournalCEUR Workshop Proceedings
    Volume2349
    Publication statusPublished - 2019
    Event2019 SegTHOR Challenge: Segmentation of THoracic Organs at Risk in CT Images, SegTHOR 2019 - Venice, Italy
    Duration: 10 Apr 2019 → …

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