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Stent retrievers with segmented design improve the efficacy of thrombectomy in tortuous vessels
Journal of NeuroInterventional Surgery, 2018Introduction Tortuous vascular anatomy is one of the greatest challenges in mechanical thrombectomy. This study examines the impact of vascular tortuosity on the performance of stent retrievers and evaluates the efficacy of the newer generation stent ...
N. Kaneko +3 more
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Model based video segmentation
2000 IEEE Workshop on SiGNAL PROCESSING SYSTEMS. SiPS 2000. Design and Implementation (Cat. No.00TH8528), 2002With the fast growth of video resources, efficient video classification and management are becoming more and more important. Video partitioning is a key issue in video classification. The video partitioning involves the detection of boundaries between uninterrupted segments (video shots) of scenes. Shot boundaries can be classified into two categories,
null Dalong Li, null Hanqing Lu
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Predictive modeling using segmentation
Journal of Interactive Marketing, 2001We discuss the use of segmentation as a predictive model for supporting targeting decisions in database marketing. We compare the performance of judgmentally based RFM and FRAC methods to automatic tree classifiers involving the well-known CHAID algorithm, a variation of the AID algorithm, and a newly developed method based on genetic algorithm (GA ...
Nissan Levin, Jacob Zahavi
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Modeling segmentation precision and inter-segmenter variability.
The Journal of the Acoustical Society of America, 2009Inter-segmenter differences have been reported in the literature to affect the measurements of segment durations [Allen (1975)] and more specifically rhythm metrics [Mairano and Romano (2007)]. Segmenters may differ in criteria used for segmentation as well as resolution of uncertainty due to gradual change between segments (such as between nasalized ...
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2012 International Conference on Computer Vision in Remote Sensing, 2012
With the spatial resolution of remote sensing data increases, the information of spatial features become more and more important for interpretation of remote sensing images. Therefore, object based image analysis methods receive more and more attentions. Image segmentation is the most important step for object based methods.
null Xuehong Chen +2 more
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With the spatial resolution of remote sensing data increases, the information of spatial features become more and more important for interpretation of remote sensing images. Therefore, object based image analysis methods receive more and more attentions. Image segmentation is the most important step for object based methods.
null Xuehong Chen +2 more
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Quasicubic-segmented ionospheric model
IEE Proceedings - Microwaves, Antennas and Propagation, 1996A method is presented of fitting quasicubic segments (QCS) automatically to measured electron-density profiles of the ionosphere. Any number of layers and valleys which occur in the ionosphere may be represented by this model, where the parameters are found by fitting to actual data points. The approach is similar to that adopted for the quasiparabolic-
R.J. Norman, P.L. Dyson, J.A. Bennett
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LeSAM: Adapt Segment Anything Model for Medical Lesion Segmentation
IEEE Journal of Biomedical and Health InformaticsThe Segment Anything Model (SAM) is a foundational model that has demonstrated impressive results in the field of natural image segmentation. However, its performance remains suboptimal for medical image segmentation, particularly when delineating lesions with irregular shapes and low contrast.
Yunbo Gu +6 more
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"Balance" Segments in Multicompartmental Models
1988Among the very important components of the General Method of Multicompartmental Models (GMMM — /l/) are so called segments. A segment is defined as a non-compartmental model approximation of the multicompartmental subsystem behaviour. One of the many possible types of segments are “balance” segments.
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Probabilistic Segmentation Modelling
Market Research Society. Journal., 1997Christopher Riquier +2 more
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