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SYSTEMS AND METHODS FOR USE OF STEREOSCOPY AND COLOR CHANGE MAGNIFICATION TO ENABLE MACHINE LEARNING FOR MINIMALLY INVASIVE ROBOTIC SURGERY
SYSTEMS AND METHODS FOR USE OF STEREOSCOPY AND COLOR CHANGE MAGNIFICATION TO ENABLE MACHINE LEARNING FOR MINIMALLY INVASIVE ROBOTIC SURGERY
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机译：用于使用立体检查和颜色变化的系统和方法，使机器学习能够为微创机械手术进行微创机器人手术
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摘要
A computer-implemented method of object enhancement in endoscopy images is presented. The computer-implemented method includes capturing an image of an object within a surgical operative site, by an imaging device. The image includes a plurality of pixels. Each of the plurality of pixels includes color information. The computer-implemented method further includes accessing the image, accessing data relating to depth information about each of the pixels in the image, inputting the depth information to a machine learning algorithm, emphasizing a feature of the image based on an output of the neural network, generating an augmented image based on the emphasized feature, and displaying the augmented image on a display.
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