about
sameAs
Markerless human motion tracking using hierarchical multi-swarm cooperative particle swarm optimizationNovel image markers for non-small cell lung cancer classification and survival predictionFat storage-inducing transmembrane protein 2 is required for normal fat storage in adipose tissueApplicability of single-camera photogrammetry to determine body dimensions of pinnipeds: Galapagos sea lions as an exampleA 3D interactive multi-object segmentation tool using local robust statistics driven active contoursThe feasibility of myocardial infarct visualization using atrial kick induced strain (AKIS) contrast.Tubular Enhanced Geodesic Active Contours for Continuum Robot Detection using 3D UltrasoundNoninvasive assessment of wall-shear rate and vascular elasticity using combined ARFI/SWEI/spectral Doppler imaging system.KID Project: an internet-based digital video atlas of capsule endoscopy for research purposesSegmentation algorithms for ear image data towards biomechanical studies.Toward hemodynamic diagnosis of carotid artery stenosis based on ultrasound image data and computational modeling.Quantification of abdominal fat depots in rats and mice during obesity and weight loss interventions.Fully automated, level set-based segmentation for knee MRIs using an adaptive force function and template: data from the osteoarthritis initiative.Hierarchical mergence approach to cell detection in phase contrast microscopy imagesMedical image segmentation based on a hybrid region-based active contour modelA low-interaction automatic 3D liver segmentation method using computed tomography for selective internal radiation therapy.New region-scalable discriminant and fitting energy functional for driving geometric active contours in medical image segmentation.Multi-scale and shape constrained localized region-based active contour segmentation of uterine fibroid ultrasound images in HIFU therapy.A complete system for automatic extraction of left ventricular myocardium from CT images using shape segmentation and contour evolutionGoIFISH: a system for the quantification of single cell heterogeneity from IFISH images.Histology image analysis for carcinoma detection and grading.Quantification of the heterogeneity of prognostic cellular biomarkers in ewing sarcoma using automated image and random survival forest analysisA coupled global registration and segmentation framework with application to magnetic resonance prostate imagery.Real-time analysis of T cell receptors in naive cells in vitro and in vivo reveals flexibility in synapse and signaling dynamics.Tubular surface segmentation for extracting anatomical structures from medical imageryAutomatic segmentation of myocardium from black-blood MR images using entropy and local neighborhood informationConvolutional virtual electric field for image segmentation using active contours.Volume Estimation Using Food Specific Shape Templates in Mobile Image-Based Dietary Assessment.Segmentation of MR image using local and global region based geodesic model.Modeling and predicting tissue movement and deformation for high intensity focused ultrasound therapy.Multiscale 3D shape representation and segmentation with applications to hippocampal/caudate extraction from brain MRIActive Contours Driven by Multi-Feature Gaussian Distribution Fitting Energy with Application to Vessel Segmentation.Framework for 3D histologic reconstruction and fusion with in vivo MRI: Preliminary results of characterizing pulmonary inflammation in a mouse model.Efficient quantitative assessment of facial paralysis using iris segmentation and active contour-based key points detection with hybrid classifier.Tool for Semiautomatic Labeling of Moving Objects in Video Sequences: TSLAB.Dependence of Shape-Based Descriptors and Mass Segmentation Areas on Initial Contour Placement Using the Chan-Vese Method on Digital Mammograms.Retinal Microaneurysms Detection Using Gradient Vector Analysis and Class Imbalance Classification.Multi-site quality and variability analysis of 3D FDG PET segmentations based on phantom and clinical image data.Automatic neuron segmentation and neural network analysis method for phase contrast microscopy imagesA robust statistics driven volume-scalable active contour for segmenting anatomical structures in volumetric medical images with complex conditions
P2860
Q27306324-391660EA-65C0-4808-ABDB-1C882ABBA5EBQ28385611-796EC32D-5350-4059-B3C4-1A0F24E06A3AQ28587329-118AC00D-DB4E-4C0E-B0F9-17A55D724CACQ28656358-43BDEF1E-EF06-460E-9130-2B95CBAE8FCAQ28727783-B6779AF4-5917-4BF0-B93D-DC7B878C8EE6Q30410606-83E7E2E8-7444-411D-815E-5DDF0104A5D5Q30447286-C8D86EEE-BF0B-469A-B59E-2BBA00DDF39CQ30471260-C672B344-96C1-400A-B196-FA02F8B6808DQ30491893-9C59C115-41AE-427C-A23A-1CDBF064F937Q30569001-6353A0C2-50D6-48FA-AA40-EE3E52F1E4F3Q30854740-17FD6B02-79FB-422B-9909-52753937FCEAQ30859788-529B2C7D-ECA2-4A1C-9572-DC9DD828013EQ31123443-650687B6-CA5F-4D52-8D23-A3F01EB1ACE2Q33758647-A0A28718-C2F4-4CAD-8E6E-69E6F1C520ACQ33852963-6ED37961-5C12-4554-8DB7-BF177DC7EFE6Q33930392-E63F6FA8-C17D-4D16-8A4D-1DA14B90C766Q33942649-B74ABB53-C6CA-4169-A1ED-C4487B47420FQ33952459-7C26B8CB-305B-4560-BBFD-24F5898E9465Q34046900-DFAE2177-B512-4516-AA7B-DC0964C1FAFFQ34202981-174EBF2C-C076-4313-A007-0AE0C9EC954BQ34205291-AC026F79-26E1-4E6E-94A2-75E21A7689A9Q34226841-4FCA5892-8C4F-4698-85F7-F2A3F5CFCB17Q34333911-1F544CA9-B7EC-42B5-B470-68237033219EQ34340619-D4D149D4-26F8-44F2-BF11-00EF53831B58Q35012490-81EC05D0-0DCA-440E-8B2F-04D5BDF11437Q35220011-6DBBF75F-8C26-436F-B89C-51E830C6D77DQ35381217-27A27FBF-8CA1-48E9-9127-4F601880D414Q35415071-079C8106-AD1B-4246-AF8C-0B4CF9E6076CQ35599777-BF96AC55-2B04-4FD3-A2B4-1E8FE7A27B0EQ35636999-4F90B7C9-1073-4096-B47C-332206FCBA95Q35705641-5A7DD972-2976-4220-AAD8-9305C2533EA4Q35841943-720DB8CE-9FEA-4947-B76C-08D57C87B0E8Q35907938-FCF95696-7445-44CE-AB0F-7D7C9850EF9DQ35954565-7D64C723-47B7-4715-B7C6-1484125C0B66Q35971725-B2D48A0F-5106-4401-B8FF-FA02CBD0F48DQ36032183-73F799C0-A94C-490D-9AEE-0AF56D816CBBQ36114193-5A8E8975-A994-4813-A510-B80597423564Q36282168-3BAAB53F-C7BE-4F22-A6AD-1F1B9DB69C84Q36284263-0D02A206-C84E-45A1-8BEA-CD2BBF5C432BQ36796968-525E52D5-9014-468D-A403-E1DDFAD71B45
P2860
description
2008 nî lūn-bûn
@nan
2008 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
Localizing region-based active contours
@ast
Localizing region-based active contours
@en
Localizing region-based active contours
@nl
type
label
Localizing region-based active contours
@ast
Localizing region-based active contours
@en
Localizing region-based active contours
@nl
prefLabel
Localizing region-based active contours
@ast
Localizing region-based active contours
@en
Localizing region-based active contours
@nl
P2860
P3181
P356
P1476
Localizing region-based active contours
@en
P2093
Allen Tannenbaum
Shawn Lankton
P2860
P304
P3181
P356
10.1109/TIP.2008.2004611
P407
P577
2008-11-01T00:00:00Z