SYSTEMS AND METHODS FOR USE OF STEREOSCOPY AND COLOR CHANGE MAGNIFICATION TO ENABLE MACHINE LEARNING FOR MINIMALLY INVASIVE ROBOTIC SURGERY
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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