March 6, 2024, 5:45 a.m. | Robert MendelRegensburg Medical Image Computing, Tobias RueckertRegensburg Medical Image Computing, Dirk WilhelmDepartment of Surgery, Faculty of Medi

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.03120v1 Announce Type: new
Abstract: Real-time computational speed and a high degree of precision are requirements for computer-assisted interventions. Applying a segmentation network to a medical video processing task can introduce significant inter-frame prediction noise. Existing approaches can reduce inconsistencies by including temporal information but often impose requirements on the architecture or dataset. This paper proposes a method to include temporal information in any segmentation model and, thus, a technique to improve video segmentation performance without alterations during training or …

abstract arxiv computational computer cs.cv information medical moving network noise precision prediction processing real-time reduce requirements segmentation speed temporal type video video processing

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