Affiliation: Kingston University
- Efficient computer-aided detection of ground-glass opacity nodules in thoracic CT imagesXujiong Ye
Medicsight PLC, 66 Hammersmith Road, London W14 8UD, UK
Conf Proc IEEE Eng Med Biol Soc 2007:4449-52. 2007..3%, with the number of false positives at approximately 12.7/scan (0.07/slice). The high detection performance of the method suggested promising potential for clinical applications...
- Segmentation of pulmonary nodules in thoracic CT scans: a region growing approachJ Dehmeshki
Faculty of Computing, Information Systems and Mathematics, Kingston University, Kingston upon Thames KT1 2EE, UK
IEEE Trans Med Imaging 27:467-80. 2008..84% of the first results of the segmentation were accepted by the radiologist while for the remaining 16% nodules, alternative segmentation solutions that were provided by the method were selected...
- Automated detection of lung nodules in CT images using shape-based genetic algorithmJamshid Dehmeshki
Medicsight PLC, London, UK
Comput Med Imaging Graph 31:408-17. 2007..6/scan (0.06/slice). The high-detection performance of the method suggested promising potential for clinical applications...
- Shape-based computer-aided detection of lung nodules in thoracic CT imagesXujiong Ye
Medicsight PLC, London W14 8UD, UK
IEEE Trans Biomed Eng 56:1810-20. 2009..The method's high detection rate, fast computation, and applicability to different imaging conditions and nodule types shows much promise for clinical applications...
- Volumetric quantification of atherosclerotic plaque in CT considering partial volume effectJamshid Dehmeshki
Medicsight PLC, London, W1J 5AT, UK
IEEE Trans Med Imaging 26:273-82. 2007..The high reproducibility of the proposed method for 35 patients, scanned twice using the same protocol at a minimum interval of 10 min, shows that the method provides 2-3 times lower interscan variation than conventional techniques...
- CT Attenuation Values of Blood and Myocardium: Rationale for Accurate Coronary Artery Calcifications Detection with Multi-Detector CTSalah D Qanadli
Department of Radiology, University Hospital of Lausanne, Rue du Bugnon 46, 1011 Lausanne, Switzerland Quantitative Medical Imaging International Institute, Digital Imaging Research center, Faculty of Computing, Information Systems and Mathematics, University of Kingston, London, United Kingdom
PLoS ONE 10:e0124175. 2015..To determine inter-session and intra/inter-individual variations of the attenuations of aortic blood/myocardium with MDCT in the context of calcium scoring. To evaluate whether these variations are dependent on patients' characteristics...
- Computer assisted detection software for CT colonography: effect of sphericity filter on performance characteristics for patients with and without fecal taggingJamshid Dehmeshki
Medicsight PLC, Berkeley Sq, London, UK
Eur Radiol 17:662-8. 2007..8% for polyps 6 mm or more when used at a sphericity setting of 0.3. Higher sphericity settings increased specificity while reducing sensitivity. The bowel preparation used significantly impacts on specificity...
- Computer-assisted detection for CT colonography: external validationS Halligan
Department of Specialist Radiology, University College Hospital, London, UK
Clin Radiol 61:758-63; discussion 764-5. 2006..To externally validate a computer-assisted detection (CAD) system for computed tomography (CT) colonography, using data from a single centre uninvolved with the software development...
- Computed tomographic colonography: assessment of radiologist performance with and without computer-aided detectionSteve Halligan
Department of Specialist Radiology, University College Hospital, London, England
Gastroenterology 131:1690-9. 2006..However, the unavoidable interaction between CAD and the reader has not been addressed...
- Polyp detection with CT colonography: primary 3D endoluminal analysis versus primary 2D transverse analysis with computer-assisted reader softwareStuart A Taylor
Department of Intestinal Imaging, St Mark s Hospital, Northwick Park, Harrow, United Kingdom
Radiology 239:759-67. 2006....
- Computer-assisted reader software versus expert reviewers for polyp detection on CT colonographyStuart A Taylor
Department of Intestinal Imaging, St Mark s and Northwick Park Hospitals, Watford Rd, Harrow HA1 3UJ, United Kingdom
AJR Am J Roentgenol 186:696-702. 2006..The purpose of our study was to assess the sensitivity of computer-assisted reader (CAR) software for polyp detection compared with the performance of expert reviewers...
- Computed tomography colonography: automated diameter and volume measurement of colonic polyps compared with a manual technique--in vitro studyDavid Burling
Intestinal Imaging Centre, St Mark s Hospital, Northwick Park, London, United Kingdom
J Comput Assist Tomogr 29:387-93. 2005..To investigate inter- and intraobserver agreement of automated measurement of polyp diameter in vitro...