发明名称 |
METHOD AND SYSTEM FOR SEMANTIC SEGMENTATION IN LAPAROSCOPIC AND ENDOSCOPIC 2D/2.5D IMAGE DATA |
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. |
申请公布号 |
WO2016175773(A1) |
申请公布日期 |
2016.11.03 |
申请号 |
WO2015US28120 |
申请日期 |
2015.04.29 |
申请人 |
SIEMENS AKTIENGESELLSCHAFT;SIEMENS CORPORATION |
发明人 |
KLUCKNER, Stefan;KAMEN, Ali;CHEN, Terrence |
分类号 |
G06T7/00 |
主分类号 |
G06T7/00 |
代理机构 |
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代理人 |
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地址 |
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