| Title |
Automated Methods for Hippocampus Segmentation: the Evolution and a Review of the State of the Art
|
|---|---|
| Published in |
Neuroinformatics, October 2014
|
| DOI | 10.1007/s12021-014-9243-4 |
| Pubmed ID | |
| Authors |
Vanderson Dill, Alexandre Rosa Franco, Márcio Sarroglia Pinho |
| Abstract |
The segmentation of the hippocampus in Magnetic Resonance Imaging (MRI) has been an important procedure to diagnose and monitor several clinical situations. The precise delineation of the borders of this brain structure makes it possible to obtain a measure of the volume and estimate its shape, which can be used to diagnose some diseases, such as Alzheimer's disease, schizophrenia and epilepsy. As the manual segmentation procedure in three-dimensional images is highly time consuming and the reproducibility is low, automated methods introduce substantial gains. On the other hand, the implementation of those methods is a challenge because of the low contrast of this structure in relation to the neighboring areas of the brain. Within this context, this research presents a review of the evolution of automatized methods for the segmentation of the hippocampus in MRI. Many proposed methods for segmentation of the hippocampus have been published in leading journals in the medical image processing area. This paper describes these methods presenting the techniques used and quantitatively comparing the methods based on Dice Similarity Coefficient. Finally, we present an evaluation of those methods considering the degree of user intervention, computational cost, segmentation accuracy and feasibility of application in a clinical routine. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| Colombia | 1 | <1% |
| France | 1 | <1% |
| Netherlands | 1 | <1% |
| Brazil | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 125 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 27 | 20% |
| Student > Master | 23 | 17% |
| Student > Ph. D. Student | 21 | 16% |
| Student > Doctoral Student | 13 | 10% |
| Student > Bachelor | 7 | 5% |
| Other | 18 | 14% |
| Unknown | 23 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 19 | 14% |
| Engineering | 16 | 12% |
| Medicine and Dentistry | 15 | 11% |
| Psychology | 14 | 11% |
| Computer Science | 13 | 10% |
| Other | 14 | 11% |
| Unknown | 41 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 08 December 2014.
All research outputs
#17,730,142
of 22,768,097 outputs
Outputs from Neuroinformatics
#302
of 404 outputs
Outputs of similar age
#175,308
of 260,345 outputs
Outputs of similar age from Neuroinformatics
#6
of 8 outputs
Altmetric has tracked 22,768,097 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 404 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
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 260,345 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.