about
CT Angiography after 20 Years: A Transformation in Cardiovascular Disease Characterization Continues to AdvanceTumoral and non-tumoral trachea stenoses: evaluation with three-dimensional CT and virtual bronchoscopy.Data management solution for large-volume computed tomography in an existing picture archiving and communication system (PACS).Managing the CT data explosion: initial experiences of archiving volumetric datasets in a mini-PACSSummation or axial slab average intensity projection of abdominal thin-section CT datasets: can they substitute for the primary reconstruction from raw projection data?Content-based image retrieval in radiology: current status and future directions.A hierarchical knowledge-based approach for retrieving similar medical images described with semantic annotations.Influence of image compression on the interpretation of spectral-domain optical coherence tomography in exudative age-related macular degeneration.Automated retrieval of CT images of liver lesions on the basis of image similarity: method and preliminary results.On combining image-based and ontological semantic dissimilarities for medical image retrieval applicationsOn-the-fly generation of multiplanar reformation images independent of CT scanner type.Alternative user interface devices for improved navigation of CT datasets.Dicoogle, a PACS featuring profiled content based image retrievalManaging biomedical image metadata for search and retrieval of similar images.A comprehensive descriptor of shape: method and application to content-based retrieval of similar appearing lesions in medical imagesMultislice CT of the abdomen.High resolution volume imaging of airways and lung parenchyma with multislice CT.Effect of CT image compression on computer-assisted lung nodule volume measurement.Fuzzy Clustering Applied to ROI Detection in Helical Thoracic CT Scans with a New Proposal and Variants.Visual Interpretation with Three-Dimensional Annotations (VITA): three-dimensional image interpretation tool for radiological reporting.Technical considerations for lower limb multidetector computed tomographic angiography.Predicting the fidelity of JPEG2000 compressed CT images using DICOM header information.Simplifying the exploration of volumetric images: development of a 3D user interface for the radiologist's workplace.ACCF/AHA 2007 Clinical Competence Statement on vascular imaging with computed tomography and magnetic resonance.Use of a Dedicated Server to Perform Coronal and Sagittal Reformations in Trauma Examinations.Femoropopliteal artery centerline interpolation using contralateral shape.Multipath Curved Planar Reformations of Peripheral CT Angiography: Diagnostic Accuracy and Time Efficiency.Volumetric analysis of pelvic hematomas after blunt trauma using semi-automated seeded region growing segmentation: a method validation study.Abdominal gunshot wounds: multi-detector-row CT findings compared with laparotomy: a prospective study.Fracture detection in the cervical spine with multidetector CT: 1-mm versus 3-mm axial images.Effect of Hybrid Kernel and Iterative Reconstruction on Objective and Subjective Analysis of Lung Nodule Calcification in Low-Dose Chest CT
P2860
Q29039498-6F28797E-8595-414C-ABED-F8FDC886866EQ30479925-FD5FF3F3-FB99-465A-B58F-C6CABDE5CC7EQ30883075-67313454-23A0-40A1-9394-F3ECE0A2F04EQ30990931-968B76E4-2A0C-4638-B22E-3309FDF57EA6Q33297507-B84DBC5C-4E15-4D5D-AC8D-90C551FF0876Q33550859-267E753F-0363-4867-A8E2-B199B3165A91Q33758417-CA128F7E-2A65-4FC1-83A1-D0D4C2855FEAQ33891110-05CD2F72-99AE-4D73-A0EC-26B7234C6F1DQ33964318-93C018D2-51F6-4212-8506-19E395B4B3AEQ34235314-F2088CB5-724B-42E5-B410-3C5BCF991671Q34598954-A60A4B6F-D36F-4A3D-B84D-D3754B70E261Q34615162-AF726A99-F56F-4324-8316-FACB8F3E4A42Q34720463-CA8D139B-27AC-4172-9312-FB8A2D1D55EDQ35113077-BE937B09-1D2C-41EA-8C1B-564216A5EA10Q35690647-758E8FB7-9105-4FFE-90CB-B1FE24CDA06AQ35952122-A8519F00-6C39-461E-B864-DC83BBBE0DB6Q35952136-6540673E-461D-4031-B554-880A1D96816DQ36608880-11D21923-7F3C-4C94-974D-6431EF2C4FD6Q37141434-B9194204-0955-4EAD-A497-F3830A91D7C1Q37522116-0539C39A-2BD7-4984-A468-0373090C6FDFQ37817585-D5B4B0F3-6F05-4BC6-A9BB-F793F475D1E4Q37965739-773A4755-FF87-44CB-9D79-B44129122379Q42057833-CD3488DB-A7D0-4565-8210-A33861E25D26Q42697684-354FD849-1AD6-43D1-8ADE-968F2C2FF995Q42731469-AFD32732-6D4B-4789-9C3E-BD4EB6D9795FQ46046731-B626DFE8-BC1A-418C-B669-EABD2A2F92F4Q47584521-8FDAA2E9-89F9-4741-9847-5BE21DDCC7A0Q50620279-B182E245-3CBE-44FD-A4CE-4B2F3D41733CQ51380661-6483624C-0B05-4D7A-A24E-497678A425BBQ53412307-86D658BE-CE74-449F-876D-682C5EFC69F2Q58799315-92410BB4-1514-464E-855C-D08242B86D91
P2860
description
2000 nî lūn-bûn
@nan
2000 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2000 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2000年の論文
@ja
2000年論文
@yue
2000年論文
@zh-hant
2000年論文
@zh-hk
2000年論文
@zh-mo
2000年論文
@zh-tw
2000年论文
@wuu
name
Data explosion: the challenge of multidetector-row CT.
@ast
Data explosion: the challenge of multidetector-row CT.
@en
type
label
Data explosion: the challenge of multidetector-row CT.
@ast
Data explosion: the challenge of multidetector-row CT.
@en
prefLabel
Data explosion: the challenge of multidetector-row CT.
@ast
Data explosion: the challenge of multidetector-row CT.
@en
P1476
Data explosion: the challenge of multidetector-row CT.
@en
P2093
P356
10.1016/S0720-048X(00)00270-9
P577
2000-11-01T00:00:00Z