March 26, 2024, 4:48 a.m. | Albert J. Miao Shan Lin, Jingpei Lu, Florian Richter, Benjamin Ostrander, Emily K. Funk, Ryan K. Orosco, Michael C. Yip

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.16286v1 Announce Type: cross
Abstract: Hemorrhaging occurs in surgeries of all types, forcing surgeons to quickly adapt to the visual interference that results from blood rapidly filling the surgical field. Introducing automation into the crucial surgical task of hemostasis management would offload mental and physical tasks from the surgeon and surgical assistants while simultaneously increasing the efficiency and safety of the operation. The first step in automation of hemostasis management is detection of blood in the surgical field. To propel …

abstract adapt arxiv automation cs.cv dataset eess.iv interference management results segmentation tasks type types visual

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