{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T07:27:00Z","timestamp":1786951620587,"version":"build-2736575974"},"reference-count":12,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T00:00:00Z","timestamp":1786924800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T00:00:00Z","timestamp":1786924800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100001652","name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100001652","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Res Notes"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>Datasets for automatic analysis of laryngeal endoscopic images are scarce, particularly those providing detailed anatomical annotations beyond the glottal area. The BAGLS dataset previously introduced a large collection of laryngoscopic images with expert annotations of the glottal area. To facilitate research on more detailed anatomical modeling and segmentation tasks, we introduce BAGLS-VF, an extension of the BAGLS dataset that includes additional annotations of the left and right vocal folds.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Data description<\/jats:title>\n                    <jats:p>BAGLS-VF contains 59,250 videolaryngoscopic frames with pixel-level annotations of three anatomical structures: glottal area, left vocal fold, and right vocal fold. The dataset is derived from the original BAGLS dataset and was semi-automatically annotated by a trained rater using a standardized annotation protocol. Images originate from high-speed videolaryngoscopic recordings of subjects undergoing clinical examination and cover a wide range of anatomical variability and imaging conditions. In line with the original BAGLS dataset, the images are predominantly grayscale (approximately 97% of the underlying recordings) with a small proportion of RGB recordings (approximately 3%); the segmentation masks are provided as RGB-encoded label images in which the three anatomical regions are stored as separate colour channels. BAGLS-VF is intended to support research in medical image segmentation, laryngeal biomechanics, and computer-assisted diagnosis.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1186\/s13104-026-07972-7","type":"journal-article","created":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T07:11:30Z","timestamp":1786950690000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["BAGLS-VF: a comprehensive dataset for glottal area and vocal fold segmentations"],"prefix":"10.1186","volume":"19","author":[{"given":"Sina","family":"Razi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3643-7776","authenticated-orcid":false,"given":"Andreas M.","family":"Kist","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,8,17]]},"reference":[{"issue":"5","key":"7972_CR1","doi-asserted-by":"publisher","first-page":"1556","DOI":"10.3390\/app10051556","volume":"10","author":"G Andrade-Miranda","year":"2020","unstructured":"Andrade-Miranda G, Stylianou Y, Deliyski DD, Godino-Llorente JI, Bernardoni NH. Laryngeal image processing of vocal folds motion. Appl Sci. 2020;10(5):1556. https:\/\/doi.org\/10.3390\/app10051556.","journal-title":"Appl Sci"},{"issue":"3","key":"7972_CR2","doi-asserted-by":"publisher","first-page":"574","DOI":"10.1016\/j.jvoice.2024.11.037","volume":"39","author":"AM Kist","year":"2025","unstructured":"Kist AM, D\u00f6llinger M. Have we solved glottis segmentation? Review and commentary. J Voice. 2025;39(3):574\u20136. https:\/\/doi.org\/10.1016\/j.jvoice.2024.11.037.","journal-title":"J Voice"},{"issue":"12","key":"7972_CR3","doi-asserted-by":"publisher","first-page":"2117","DOI":"10.1097\/00005537-200012000-00028","volume":"110","author":"H Larsson","year":"2000","unstructured":"Larsson H, Herteg\u00e5rd S, Lindestad P-\u00c5, Hammarberg B. Vocal fold vibrations: high-speed imaging, kymography, and acoustic analysis: a preliminary report. Laryngoscope. 2000;110(12):2117\u201322. https:\/\/doi.org\/10.1097\/00005537-200012000-00028.","journal-title":"Laryngoscope"},{"issue":"11","key":"7972_CR4","doi-asserted-by":"publisher","first-page":"2511","DOI":"10.1002\/lary.23568","volume":"122","author":"M D\u00f6llinger","year":"2012","unstructured":"D\u00f6llinger M, Dubrovskiy D, Patel R. Spatiotemporal analysis of vocal fold vibrations between children and adults. Laryngoscope. 2012;122(11):2511\u20138. https:\/\/doi.org\/10.1002\/lary.23568.","journal-title":"Laryngoscope"},{"issue":"1","key":"7972_CR5","doi-asserted-by":"publisher","first-page":"186","DOI":"10.1038\/s41597-020-0526-3","volume":"7","author":"P G\u00f3mez","year":"2020","unstructured":"G\u00f3mez P, et al. BAGLS, a multihospital benchmark for automatic glottis segmentation. Sci Data. 2020;7(1):186. https:\/\/doi.org\/10.1038\/s41597-020-0526-3.","journal-title":"Sci Data"},{"issue":"1","key":"7972_CR6","doi-asserted-by":"publisher","first-page":"16473","DOI":"10.1038\/s41598-025-00966-8","volume":"15","author":"MK Fehling","year":"2025","unstructured":"Fehling MK, Schuster M, Linxweiler M, Lohscheller J. The Laryngovibrogram as a normalized spatiotemporal representation of vocal fold dynamics. Sci Rep. 2025;15(1):16473. https:\/\/doi.org\/10.1038\/s41598-025-00966-8.","journal-title":"Sci Rep"},{"issue":"3","key":"7972_CR7","doi-asserted-by":"publisher","first-page":"300","DOI":"10.1109\/TMI.2007.903690","volume":"27","author":"J Lohscheller","year":"2008","unstructured":"Lohscheller J, Eysholdt U, Toy H, D\u00f6llinger M. Phonovibrography: mapping high-speed movies of vocal fold vibrations into 2-D diagrams for visualizing and analyzing the underlying laryngeal dynamics. IEEE Trans Med Imaging. 2008;27(3):300\u20139. https:\/\/doi.org\/10.1109\/TMI.2007.903690.","journal-title":"IEEE Trans Med Imaging"},{"issue":"6","key":"7972_CR8","doi-asserted-by":"publisher","first-page":"1889","DOI":"10.1044\/2021_JSLHR-20-00498","volume":"64","author":"AM Kist","year":"2021","unstructured":"Kist AM, G\u00f3mez P, Dubrovskiy D, Schlegel P, Kunduk M, Echternach M, et al. A deep learning enhanced novel software tool for laryngeal dynamics analysis. J Speech Lang Hear Res. 2021;64(6):1889\u2013903. https:\/\/doi.org\/10.1044\/2021_JSLHR-20-00498.","journal-title":"J Speech Lang Hear Res"},{"key":"7972_CR9","doi-asserted-by":"publisher","unstructured":"Ravi N, et al. SAM 2: segment anything in images and videos. arXiv preprint. 2024. https:\/\/doi.org\/10.48550\/arXiv.2408.00714.","DOI":"10.48550\/arXiv.2408.00714"},{"key":"7972_CR10","doi-asserted-by":"publisher","first-page":"pp. 703","DOI":"10.1007\/978-3-031-43901-8_67","volume-title":"Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2023","author":"L Neubig","year":"2023","unstructured":"Neubig L, Kist AM. Evolutionary Normalization Optimization Boosts Semantic Segmentation Network Performance. In: Greenspan H, editor. Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2023, vol. vol. 14223. Cham: Springer Nature Switzerland; 2023. p. 703\u201312. https:\/\/doi.org\/10.1007\/978-3-031-43901-8_67."},{"issue":"7","key":"7972_CR11","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0314573","volume":"20","author":"AM Kist","year":"2025","unstructured":"Kist AM, Razi S, Groh R, Gritsch F, Sch\u00fctzenberger A. Predicting semantic segmentation quality in laryngeal endoscopy images. PLoS One. 2025;20(7): e0314573. https:\/\/doi.org\/10.1371\/journal.pone.0314573.","journal-title":"PLoS One"},{"key":"7972_CR12","doi-asserted-by":"publisher","DOI":"10.5281\/zenodo.19593658","author":"S Razi","year":"2026","unstructured":"Razi S, Kist A. BAGLS-VF: a comprehensive dataset for glottal area and vocal fold segmentations. Zenodo. 2026. https:\/\/doi.org\/10.5281\/zenodo.19593658.","journal-title":"Zenodo"}],"container-title":["BMC Research Notes"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s13104-026-07972-7","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s13104-026-07972-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s13104-026-07972-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T07:19:37Z","timestamp":1786951177000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1186\/s13104-026-07972-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8,17]]},"references-count":12,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2026,12]]}},"alternative-id":["7972"],"URL":"https:\/\/doi.org\/10.1186\/s13104-026-07972-7","relation":{},"ISSN":["1756-0500"],"issn-type":[{"value":"1756-0500","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,8,17]]},"assertion":[{"value":"12 March 2026","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 August 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 August 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Ethics approval was granted for the original BAGLS dataset [\n                      \n                      ]; here we provide additional annotations of the same, already approved image material.","order":1,"name":"Ethics","label":"Ethics approval and consent to participate","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Obtained in the original publication [\n                      \n                      ].","order":2,"name":"Ethics","label":"Consent for publication","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":3,"name":"Ethics","label":"Competing interests","group":{"name":"EthicsHeading","label":"Declarations"}}],"article-number":"329"}}