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METHOD AND SYSTEM FOR SEMANTIC SEGMENTATION IN LAPAROSCOPIC AND ENDOSCOPIC 2D/2.5D IMAGE DATA
METHOD AND SYSTEM FOR SEMANTIC SEGMENTATION IN LAPAROSCOPIC AND ENDOSCOPIC 2D/2.5D IMAGE DATA
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机译:腹腔镜和内窥镜2D / 2.5D图像数据中语义分割的方法和系统
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摘要
A method and system for semantic segmentation laparoscopic and endoscopic 2D/2.5D image data is disclosed. Statistical image features that integrate a 2D image channel and a 2.5D depth channel of a 2D/2.5 laparoscopic or endoscopic image are extracted for each pixel in the image. Semantic segmentation of the laparoscopic or endoscopic image is then performed using a trained classifier to classify each pixel in the image with respect to a semantic object class of a target organ based on the extracted statistical image features. Segmented image masks resulting from the semantic segmentation of multiple frames of a laparoscopic or endoscopic image sequence can be used to guide organ specific 3D stitching of the frames to generate a 3D model of the target organ.
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