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Endomapper dataset of complete calibrated endoscopy procedures
Computer-assisted systems are becoming broadly used in medicine. In endoscopy, most research focuses on the automatic detection of polyps or other pathologies, but localization and navigation of the endoscope are completely performed manually by physicians. To broaden this research and bring spatial...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10547713/ https://www.ncbi.nlm.nih.gov/pubmed/37789003 http://dx.doi.org/10.1038/s41597-023-02564-7 |
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author | Azagra, Pablo Sostres, Carlos Ferrández, Ángel Riazuelo, Luis Tomasini, Clara Barbed, O. León Morlana, Javier Recasens, David Batlle, Víctor M. Gómez-Rodríguez, Juan J. Elvira, Richard López, Julia Oriol, Cristina Civera, Javier Tardós, Juan D. Murillo, Ana C. Lanas, Angel Montiel, José M. M. |
author_facet | Azagra, Pablo Sostres, Carlos Ferrández, Ángel Riazuelo, Luis Tomasini, Clara Barbed, O. León Morlana, Javier Recasens, David Batlle, Víctor M. Gómez-Rodríguez, Juan J. Elvira, Richard López, Julia Oriol, Cristina Civera, Javier Tardós, Juan D. Murillo, Ana C. Lanas, Angel Montiel, José M. M. |
author_sort | Azagra, Pablo |
collection | PubMed |
description | Computer-assisted systems are becoming broadly used in medicine. In endoscopy, most research focuses on the automatic detection of polyps or other pathologies, but localization and navigation of the endoscope are completely performed manually by physicians. To broaden this research and bring spatial Artificial Intelligence to endoscopies, data from complete procedures is needed. This paper introduces the Endomapper dataset, the first collection of complete endoscopy sequences acquired during regular medical practice, making secondary use of medical data. Its main purpose is to facilitate the development and evaluation of Visual Simultaneous Localization and Mapping (VSLAM) methods in real endoscopy data. The dataset contains more than 24 hours of video. It is the first endoscopic dataset that includes endoscope calibration as well as the original calibration videos. Meta-data and annotations associated with the dataset vary from the anatomical landmarks, procedure labeling, segmentations, reconstructions, simulated sequences with ground truth and same patient procedures. The software used in this paper is publicly available. |
format | Online Article Text |
id | pubmed-10547713 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-105477132023-10-05 Endomapper dataset of complete calibrated endoscopy procedures Azagra, Pablo Sostres, Carlos Ferrández, Ángel Riazuelo, Luis Tomasini, Clara Barbed, O. León Morlana, Javier Recasens, David Batlle, Víctor M. Gómez-Rodríguez, Juan J. Elvira, Richard López, Julia Oriol, Cristina Civera, Javier Tardós, Juan D. Murillo, Ana C. Lanas, Angel Montiel, José M. M. Sci Data Data Descriptor Computer-assisted systems are becoming broadly used in medicine. In endoscopy, most research focuses on the automatic detection of polyps or other pathologies, but localization and navigation of the endoscope are completely performed manually by physicians. To broaden this research and bring spatial Artificial Intelligence to endoscopies, data from complete procedures is needed. This paper introduces the Endomapper dataset, the first collection of complete endoscopy sequences acquired during regular medical practice, making secondary use of medical data. Its main purpose is to facilitate the development and evaluation of Visual Simultaneous Localization and Mapping (VSLAM) methods in real endoscopy data. The dataset contains more than 24 hours of video. It is the first endoscopic dataset that includes endoscope calibration as well as the original calibration videos. Meta-data and annotations associated with the dataset vary from the anatomical landmarks, procedure labeling, segmentations, reconstructions, simulated sequences with ground truth and same patient procedures. The software used in this paper is publicly available. Nature Publishing Group UK 2023-10-03 /pmc/articles/PMC10547713/ /pubmed/37789003 http://dx.doi.org/10.1038/s41597-023-02564-7 Text en © The Author(s) 2023 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 | Data Descriptor Azagra, Pablo Sostres, Carlos Ferrández, Ángel Riazuelo, Luis Tomasini, Clara Barbed, O. León Morlana, Javier Recasens, David Batlle, Víctor M. Gómez-Rodríguez, Juan J. Elvira, Richard López, Julia Oriol, Cristina Civera, Javier Tardós, Juan D. Murillo, Ana C. Lanas, Angel Montiel, José M. M. Endomapper dataset of complete calibrated endoscopy procedures |
title | Endomapper dataset of complete calibrated endoscopy procedures |
title_full | Endomapper dataset of complete calibrated endoscopy procedures |
title_fullStr | Endomapper dataset of complete calibrated endoscopy procedures |
title_full_unstemmed | Endomapper dataset of complete calibrated endoscopy procedures |
title_short | Endomapper dataset of complete calibrated endoscopy procedures |
title_sort | endomapper dataset of complete calibrated endoscopy procedures |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10547713/ https://www.ncbi.nlm.nih.gov/pubmed/37789003 http://dx.doi.org/10.1038/s41597-023-02564-7 |
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