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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Medical image processing on the GPU – Past, present and future
|
|---|---|
| Published in |
Medical Image Analysis, June 2013
|
| DOI | 10.1016/j.media.2013.05.008 |
| Pubmed ID | |
| URN |
urn:nbn:se:liu:diva-93673
|
| Authors |
Anders Eklund, Paul Dufort, Daniel Forsberg, Stephen M. LaConte |
| Abstract |
Graphics processing units (GPUs) are used today in a wide range of applications, mainly because they can dramatically accelerate parallel computing, are affordable and energy efficient. In the field of medical imaging, GPUs are in some cases crucial for enabling practical use of computationally demanding algorithms. This review presents the past and present work on GPU accelerated medical image processing, and is meant to serve as an overview and introduction to existing GPU implementations. The review covers GPU acceleration of basic image processing operations (filtering, interpolation, histogram estimation and distance transforms), the most commonly used algorithms in medical imaging (image registration, image segmentation and image denoising) and algorithms that are specific to individual modalities (CT, PET, SPECT, MRI, fMRI, DTI, ultrasound, optical imaging and microscopy). The review ends by highlighting some future possibilities and challenges. |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 3 | 33% |
| United Kingdom | 1 | 11% |
| India | 1 | 11% |
| United States | 1 | 11% |
| Australia | 1 | 11% |
| Canada | 1 | 11% |
| Unknown | 1 | 11% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 56% |
| Scientists | 2 | 22% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
| Unknown | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 520 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 2% |
| Canada | 4 | <1% |
| Brazil | 3 | <1% |
| China | 3 | <1% |
| United Kingdom | 3 | <1% |
| Italy | 2 | <1% |
| Netherlands | 2 | <1% |
| Mexico | 2 | <1% |
| Russia | 2 | <1% |
| Other | 18 | 3% |
| Unknown | 471 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 158 | 30% |
| Student > Master | 94 | 18% |
| Researcher | 61 | 12% |
| Student > Bachelor | 38 | 7% |
| Professor > Associate Professor | 28 | 5% |
| Other | 82 | 16% |
| Unknown | 59 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 181 | 35% |
| Engineering | 146 | 28% |
| Medicine and Dentistry | 34 | 7% |
| Physics and Astronomy | 19 | 4% |
| Agricultural and Biological Sciences | 18 | 3% |
| Other | 44 | 8% |
| Unknown | 78 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 15 May 2021.
All research outputs
#2,123,370
of 25,373,627 outputs
Outputs from Medical Image Analysis
#51
of 1,653 outputs
Outputs of similar age
#17,821
of 209,955 outputs
Outputs of similar age from Medical Image Analysis
#1
of 12 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,653 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 96% 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 209,955 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.