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Segmentation and segment connection of obstructed colon
SPIE Proceedings, 2004Segmentation of colon CT images is the main factor that inhibits automation of virtual colonoscopy. There are two main reasons that make efficient colon segmentation difficult. First, besides the colon, the small bowel, lungs, and stomach are also gas-filled organs in the abdomen. Second, peristalsis or residual feces often obstruct the colon, so that
Mario Medved +3 more
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Intonation segments and segmental intonation
Interspeech 2009, 2009An acoustic analysis of a German dialogue corpus showed that the sound qualities and durations of fricatives, vocoids, and diphthongs at the ends of question and statement utterances varied systematically with the utterance-final intonation segments, which were high-rising in the questions and terminal-falling in the statements.
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Semantic Segmentation without Annotating Segments
2013 IEEE International Conference on Computer Vision, 2013Numerous existing object segmentation frameworks commonly utilize the object bounding box as a prior. In this paper, we address semantic segmentation assuming that object bounding boxes are provided by object detectors, but no training data with annotated segments are available.
Wei Xia +4 more
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Line Segment Based Watershed Segmentation
2007In this paper we present an overview of our novel line segment based watershed segmentation algorithm. Most of the existing watershed algorithms use the region label image as the main data structure for its ease of use. These type of watershed algorithms have a relatively large memory footprint and need unbounded memory access.
Johan de Bock, Wilfried Philips
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Segmental Anatomy as Applied to Segmental Resection
Diseases of the Chest, 1958SUMMARY True segmental resection is not a simple matter and there is need to redefine accurately the term. Knowledge and employment of anatomy are necessary to avoid devitalization of some segments and unnecessary removal of other segments. The segmental anatomical hazards must be understood to perform accurate segmental resections.
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1998
The segmentation of medical images like CT or MRI scans represents a great challenge to researchers in computer vision, due to the variability of the individual anatomy and the different characteristics of the scanning systems. As an anatomical knowledge base improves the recognition of structures in CT or MRI scans, we chose a knowledge based ...
C R, Burghart, A, Pernozzoli, U, Rembold
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The segmentation of medical images like CT or MRI scans represents a great challenge to researchers in computer vision, due to the variability of the individual anatomy and the different characteristics of the scanning systems. As an anatomical knowledge base improves the recognition of structures in CT or MRI scans, we chose a knowledge based ...
C R, Burghart, A, Pernozzoli, U, Rembold
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Foreground Segmentation via Segments Tracking
2009In this paper we propose a video segmentation algorithm that in the final delineation of the object employs the graph-cut. A partitioning of the image based on pairwise region comparison is done at the beginning of each frame. A set of keypoints is tracked over time via optical flow to extract regions, which are likely to be parts of the object of ...
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Remote sensing image segmentation advances: A meta-analysis
ISPRS Journal of Photogrammetry and Remote Sensing, 2021Ioannis Kotaridis
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Loss odyssey in medical image segmentation
Medical Image Analysis, 2021Rui Huang, Matthew Ng, Yu Li
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Image Segmentation Using Deep Learning: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021Nasser Kehtarnavaz +2 more
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