Coronavirus disease 2019 (COVID-19) outbreaks have occurred in many countries around the world. The numbers of confirmed cases and deaths continue to increase. It is increasingly likely that COVID-19 patients will require emergency surgeries in the operating room (OR). As COVID-19 can easily be transmitted to healthcare workers and other patients during surgery, it is important to establish a set of infection prevent and control management strategy to prevent COVID-19 from spreading in the OR. Based on our experience in COVID-19 prevention and control in the OR, we introduce this COVID-19 prevention and control management strategy for preventing COVID-19 from spreading in the OR. This management strategy includes a number of COVID-19 prevention and control procedures including (I) conduct COVID-19 knowledge training at the early stage of outbreak, (II) formulate the surgery arrangement procedures and suspend the elective surgery if the patient confirmed to COVID-19, (III) divide an isolated OR area for COVID-19 surgery, (IV) preoperative preparation procedures, (V) procedures for wearing and removing personal protective equipment, (VI) anesthesia management, intraoperative management, (VII) post-operative disposable waste management and disinfection. This management strategy has worked very effectively since the outbreak of COVID-19 in Wuhan at the end of 2019. We have performed emergency surgeries on several COVID-19 confirmed patient and dozens of COVID-19 suspected patients under this COVID-19 prevention and control management strategy, and have achieved an excellent result of zero COVID-19 infection in the OR.
Adding screentone to initial line drawings is a crucial step for manga generation, but is a tedious and human‐laborious task. In this work, we propose a novel data‐driven method aiming to transfer the screentone pattern from a reference manga image. This not only ensures the quality, but also adds controllability to the generated manga results. The reference‐based screentone translation task imposes several unique challenges. Since manga image often contains multiple screentone patterns interweaved with line drawing, as an abstract art, this makes it even more difficult to extract disentangled style code from the reference. Also, finding correspondence for mapping between the reference and the input line drawing without any screentone is hard. As screentone contains many subtle details, how to guarantee the style consistency to the reference remains challenging. To suit our purpose and resolve the above difficulties, we propose a novel Reference‐based Screentone Transfer Network (RSTN). We encode the screentone style through a 1D stylegram. A patch correspondence loss is designed to build a similarity mapping function for guiding the translation. To mitigate the generated artefacts, a pattern regularization loss is introduced in the patch‐level. Through extensive experiments and a user study, we have demonstrated the effectiveness of our proposed model.
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