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Literature DB >> 21221596

Computer aided detection and diagnosis in radiology.

E Kotter, M Langer.

Abstract

Mesh：

Year: 2011 PMID： 21221596 DOI： 10.1007/s00330-010-2046-6

Source DB: PubMed Journal: Eur Radiol ISSN： 0938-7994 Impact factor: 5.315

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4 in total

1. Comparison of diagnostic accuracy and interpretation times for a standard and an advanced 3D visualisation technique in CT colonography.

Authors: Thomas Mang; Frank T Kolligs; Claus Schaefer; Maxmilian F Reiser; Anno Graser
Journal: Eur Radiol Date: 2010-10-03 Impact factor: 5.315

2. Using computer-aided detection in mammography as a decision support.

Authors: Maurice Samulski; Rianne Hupse; Carla Boetes; Roel D M Mus; Gerard J den Heeten; Nico Karssemeijer
Journal: Eur Radiol Date: 2010-06-09 Impact factor: 5.315

3. Computer-aided detection (CAD) of lung nodules in CT scans: radiologist performance and reading time with incremental CAD assistance.

Authors: Justus E Roos; David Paik; David Olsen; Emily G Liu; Lawrence C Chow; Ann N Leung; Robert Mindelzun; Kingshuk R Choudhury; David P Naidich; Sandy Napel; Geoffrey D Rubin
Journal: Eur Radiol Date: 2009-09-16 Impact factor: 5.315

4. Comparison of sensitivity and reading time for the use of computer-aided detection (CAD) of pulmonary nodules at MDCT as concurrent or second reader.

Authors: F Beyer; L Zierott; E M Fallenberg; K U Juergens; J Stoeckel; W Heindel; D Wormanns
Journal: Eur Radiol Date: 2007-05-22 Impact factor: 5.315

4 in total

Computer aided detection and diagnosis in radiology.

1. Comparison of diagnostic accuracy and interpretation times for a standard and an advanced 3D visualisation technique in CT colonography.

2. Using computer-aided detection in mammography as a decision support.

3. Computer-aided detection (CAD) of lung nodules in CT scans: radiologist performance and reading time with incremental CAD assistance.

4. Comparison of sensitivity and reading time for the use of computer-aided detection (CAD) of pulmonary nodules at MDCT as concurrent or second reader.

1. [Why radiologists should be concerned with semantics].

2. [Automatic segmentation and annotation in radiology].

3. Clinical evaluation of semi-automatic landmark-based lesion tracking software for CT-scans.

4. Automatic detection of lytic and blastic thoracolumbar spine metastases on computed tomography.