| Title |
Toward clinically usable CAD for lung cancer screening with computed tomography
|
|---|---|
| Published in |
European Radiology, July 2014
|
| DOI | 10.1007/s00330-014-3329-0 |
| Pubmed ID | |
| Authors |
Matthew S. Brown, Pechin Lo, Jonathan G. Goldin, Eran Barnoy, Grace Hyun J. Kim, Michael F. McNitt-Gray, Denise R. Aberle |
| Abstract |
The purpose of this study was to define clinically appropriate, computer-aided lung nodule detection (CAD) requirements and protocols based on recent screening trials. In the following paper, we describe a CAD evaluation methodology based on a publically available, annotated computed tomography (CT) image data set, and demonstrate the evaluation of a new CAD system with the functionality and performance required for adoption in clinical practice. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 1% |
| United States | 1 | 1% |
| Germany | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 71 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 23% |
| Student > Ph. D. Student | 12 | 16% |
| Student > Bachelor | 8 | 11% |
| Student > Master | 8 | 11% |
| Professor | 4 | 5% |
| Other | 13 | 17% |
| Unknown | 13 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 29% |
| Engineering | 13 | 17% |
| Computer Science | 5 | 7% |
| Physics and Astronomy | 4 | 5% |
| Agricultural and Biological Sciences | 3 | 4% |
| Other | 6 | 8% |
| Unknown | 22 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 August 2016.
All research outputs
#6,944,793
of 22,772,779 outputs
Outputs from European Radiology
#1,023
of 4,106 outputs
Outputs of similar age
#66,346
of 228,875 outputs
Outputs of similar age from European Radiology
#8
of 48 outputs
Altmetric has tracked 22,772,779 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 4,106 research outputs from this source. They receive a mean Attention Score of 4.5. This one has gotten more attention than average, scoring higher than 74% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 228,875 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.