Abstract: According to an embodiment of the inventive concept, a method for matching an actual surgical image and a 3D-based virtual surgical simulation environment, which is performed by an apparatus, includes setting POI information during surgery at each of surgery steps in a pre-stored surgical image obtained by performing surgery the same as the actual surgical image, matching the POI information with a virtual pneumoperitoneum model of a patient, which is used for the 3D-based virtual surgical simulation environment, the virtual pneumoperitoneum model being displayed on a UI, recognizing a real-time surgery step of the actual surgical image and determining a location of the POI information for the respective recognized surgery step, and obtaining and displaying image information, which is captured by moving a location of an endoscope inserted into the virtual pneumoperitoneum model to the same location as the determined location of the POI information, through the UI.

Abstract: Disclosed are an artificial intelligence surgical system and a control method therefor. The artificial intelligence surgical system includes a recording device that records a surgical process as a video and inputs the recorded video to a pre-trained artificial intelligence algorithm to determine a surgical stage, and a server that updates the pre-trained artificial intelligence algorithm of the recording device by using the video received from the recording device.

Abstract: According to an embodiment of the inventive concept, a method for matching an actual surgical image and a 3D-based virtual surgical simulation environment, which is performed by an apparatus, includes setting POI information during surgery at each of surgery steps in a pre-stored surgical image obtained by performing surgery the same as the actual surgical image, matching the POI information with a virtual pneumoperitoneum model of a patient, which is used for the 3D-based virtual surgical simulation environment, the virtual pneumoperitoneum model being displayed on a UI, recognizing a real-time surgery step of the actual surgical image and determining a location of the POI information for the respective recognized surgery step, and obtaining and displaying image information, which is captured by moving a location of an endoscope inserted into the virtual pneumoperitoneum model to the same location as the determined location of the POI information, through the UI.

Abstract: According to an embodiment of the inventive concept, a method for matching an actual surgical image and a 3D-based virtual surgical simulation environment, which is performed by an apparatus, includes setting POI information during surgery at each of surgery steps in a pre-stored surgical image obtained by performing surgery the same as the actual surgical image, matching the POI information with a virtual pneumoperitoneum model of a patient, which is used for the 3D-based virtual surgical simulation environment, the virtual pneumoperitoneum model being displayed on a UI, recognizing a real-time surgery step of the actual surgical image and determining a location of the POI information for the respective recognized surgery step, and obtaining and displaying image information, which is captured by moving a location of an endoscope inserted into the virtual pneumoperitoneum model to the same location as the determined location of the POI information, through the UI.

Abstract: The inventive concept relates to a method of providing surgical environment based on a virtual reality, and more particularly, to an apparatus and method for providing surgical environment based on a virtual reality by figuring out the movement of a surgical tool in a surgical video. According to the inventive concept, it is possible to generate a virtual surgical tool identical to an actual surgical tool in an actual surgical video based on virtual reality and determine the movement of the actual surgical tool according to the log information of the virtual surgical tool, thereby accurately identifying the movement of the actual surgical tool.

Abstract: An image processing method of an image processing device is provided. The image processing method includes obtaining a plurality of encoded images by each encoding an input image including a plurality of frames at different bitrates; identifying block artifacts from the frames of each of the plurality of encoded images; and generating an output image by selectively combining the frames having minimum block artifacts among the frames of each of the plurality of encoded images based on density of the block artifacts of each of the plurality of encoded images. Accordingly, it is possible to optimize image quality relative to data capacity.

Abstract: Provided is a classification method based on a support vector machine, which is effective for a small amount of training data. The classification method based on a support vector machine includes building a first classification model by applying a weight value based on a geometrical distribution of an input feature vector, building a second classification model, based on a classification uncertainty of the input feature vector, and merging the first classification model and the second classification model to perform dual optimization.