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A novel deep learning based hippocampus subfield segmentation method
The automatic assessment of hippocampus volume is an important tool in the study of several neurodegenerative diseases such as Alzheimer's disease. Specifically, the measurement of hippocampus subfields properties is of great interest since it can show earlier pathological changes in the brain....
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8789929/ https://www.ncbi.nlm.nih.gov/pubmed/35079061 http://dx.doi.org/10.1038/s41598-022-05287-8 |
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author | Manjón, José V. Romero, José E. Coupe, Pierrick |
author_facet | Manjón, José V. Romero, José E. Coupe, Pierrick |
author_sort | Manjón, José V. |
collection | PubMed |
description | The automatic assessment of hippocampus volume is an important tool in the study of several neurodegenerative diseases such as Alzheimer's disease. Specifically, the measurement of hippocampus subfields properties is of great interest since it can show earlier pathological changes in the brain. However, segmentation of these subfields is very difficult due to their complex structure and for the need of high-resolution magnetic resonance images manually labeled. In this work, we present a novel pipeline for automatic hippocampus subfield segmentation based on a deeply supervised convolutional neural network. Results of the proposed method are shown for two available hippocampus subfield delineation protocols. The method has been compared to other state-of-the-art methods showing improved results in terms of accuracy and execution time. |
format | Online Article Text |
id | pubmed-8789929 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-87899292022-01-27 A novel deep learning based hippocampus subfield segmentation method Manjón, José V. Romero, José E. Coupe, Pierrick Sci Rep Article The automatic assessment of hippocampus volume is an important tool in the study of several neurodegenerative diseases such as Alzheimer's disease. Specifically, the measurement of hippocampus subfields properties is of great interest since it can show earlier pathological changes in the brain. However, segmentation of these subfields is very difficult due to their complex structure and for the need of high-resolution magnetic resonance images manually labeled. In this work, we present a novel pipeline for automatic hippocampus subfield segmentation based on a deeply supervised convolutional neural network. Results of the proposed method are shown for two available hippocampus subfield delineation protocols. The method has been compared to other state-of-the-art methods showing improved results in terms of accuracy and execution time. Nature Publishing Group UK 2022-01-25 /pmc/articles/PMC8789929/ /pubmed/35079061 http://dx.doi.org/10.1038/s41598-022-05287-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Manjón, José V. Romero, José E. Coupe, Pierrick A novel deep learning based hippocampus subfield segmentation method |
title | A novel deep learning based hippocampus subfield segmentation method |
title_full | A novel deep learning based hippocampus subfield segmentation method |
title_fullStr | A novel deep learning based hippocampus subfield segmentation method |
title_full_unstemmed | A novel deep learning based hippocampus subfield segmentation method |
title_short | A novel deep learning based hippocampus subfield segmentation method |
title_sort | novel deep learning based hippocampus subfield segmentation method |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8789929/ https://www.ncbi.nlm.nih.gov/pubmed/35079061 http://dx.doi.org/10.1038/s41598-022-05287-8 |
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