Computer-assisted diagnosis (CAD) in mammography: comparison of diagnostic accuracy of a new algorithm (Cyclopus®, Medicad) with two commercial systems-Reference-Cited by-同舟云学术

Computer-assisted diagnosis (CAD) in mammography: comparison of diagnostic accuracy of a new algorithm (Cyclopus®, Medicad) with two commercial systems

Published:2009-05-14 Issue:4 Volume:114 Page:626-635
ISSN:0033-8362
Container-title:La radiologia medica
language:en
Short-container-title:Radiol med

Author:

Ciatto S.,Cascio D.,Fauci F.,Magro R.,Raso G.,Ienzi R.,Martinelli F.,Simone M. Vasile

Publisher

Springer Science and Business Media LLC

Subject

Radiology Nuclear Medicine and imaging,General Medicine

Link

http://link.springer.com/content/pdf/10.1007/s11547-009-0396-4.pdf

Reference23 articles.

1. Bennett RL, Blanks RG, Moss SM (2006) Does the accuracy of single reading with CAD (computer-aided detection) compare with that of double reading?: a review of the literature. Clin Radiol 61:1023–1028

2. Taylor P, Potts HWW (2008) Computer aids and human second reading as interventions in screening mammography: Two systematic reviews to compare effects on cancer detection and recall rate. Eur J Cancer 44:798–807

3. Fenton JJ, Taplin SH, Carney PA et al (2007) Influence of computer-aided detection on performance of screening mammography. N Engl J Med 356:1399–1409

4. Ciatto S, Rosselli Del Turco M, Risso G et al (2003) Comparison of standard reading and computer aided diagnosis (CAD) on a national proficiency test of screening mammography. Eur J Radiol 45:135–138

5. Ciatto S, Brancato B, Rosselli Del Turco M et al (2003) Comparison of standard reading and computer aided diagnosis (CAD) on a proficiency test of screening mammography. Radiol Med 106:59–65

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep CNN for IIF Images Classification in Autoimmune Diagnostics;Applied Sciences;2019-04-18

2. Deep Convolutional Neural Network for HEp-2 Fluorescence Intensity Classification;Applied Sciences;2019-01-26

3. An Automatic HEp-2 Specimen Analysis System Based on an Active Contours Model and an SVM Classification;Applied Sciences;2019-01-16

4. Automated approach for indirect immunofluorescence images classification based on unsupervised clustering method;IET Computer Vision;2018-08-29

5. A multi-process system for HEp-2 cells classification based on SVM;Pattern Recognition Letters;2016-10