{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,30]],"date-time":"2026-10-30T16:35:21Z","timestamp":1793378121460,"version":"4.5.0"},"reference-count":39,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"crossref","award":["NRF-2018R1D1A1B07041091, NRF-2021S1A5A8062526"],"award-info":[{"award-number":["NRF-2018R1D1A1B07041091, NRF-2021S1A5A8062526"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["DIGITAL HEALTH"],"published-print":{"date-parts":[[2024,1]]},"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>In dermatological research, the focus on scalp and skin health has intensified, particularly regarding prevalent conditions like dandruff and erythema. This study aimed to utilize YOLOv7 model to develop an automated detection web-based system for these specific scalp lesions.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Utilizing a dataset of 2200 clinical images, the model's accuracy and robustness were assessed. The raw images were initially preprocessed by the Roboflow tool. We then trained and evaluated the YOLOv7 model, comparing its performance with several baseline models including YOLOv5, YOLOF, and the single-shot detector. Finally, the proposed model was integrated into a flask API-based web application using the flask-ngrok library.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The YOLOv7 demonstrated exceptional performance, attaining a mean average precision of 98.6%, with precision and recall rates of 98.6% and 97.2%, respectively. When benchmarked against baseline models, the YOLOv7 demonstrated enhanced performance metrics both during the training phase and the testing process on unseen data.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>This study not only validates the potential of YOLOv7 for scalp lesion diagnostic applications but also brings the integration of sophisticated AI models into practical healthcare solutions.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/20552076241279185","type":"journal-article","created":{"date-parts":[[2024,9,2]],"date-time":"2024-09-02T04:30:54Z","timestamp":1725251454000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":4,"title":["YOLOv7-based automated detection platform for scalp lesions"],"prefix":"10.1177","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6981-0891","authenticated-orcid":false,"given":"Hung Viet","family":"Nguyen","sequence":"first","affiliation":[{"name":"Department of Digital Anti-Aging Healthcare (BK21), Inje University, Gimhae, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3363-390X","authenticated-orcid":false,"given":"Haewon","family":"Byeon","sequence":"additional","affiliation":[{"name":"Department of Digital Anti-Aging Healthcare (BK21), Inje University, Gimhae, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2024,9,2]]},"reference":[{"key":"bibr1-20552076241279185","volume-title":"Clinical dermatology: Diagnosis and management of common disorders","author":"Hordinsky MK"},{"key":"bibr2-20552076241279185","doi-asserted-by":"publisher","DOI":"10.1002\/bies.202100005"},{"key":"bibr3-20552076241279185","doi-asserted-by":"publisher","DOI":"10.5772\/67278"},{"key":"bibr4-20552076241279185","doi-asserted-by":"publisher","DOI":"10.1111\/jdv.19381"},{"key":"bibr5-20552076241279185","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijwd.2016.09.002"},{"key":"bibr6-20552076241279185","doi-asserted-by":"crossref","first-page":"867","DOI":"10.1016\/j.ad.2013.03.004","volume":"104","author":"Serrano-Falc\u00f3n C","year":"2013","journal-title":"Actas Dermosifiliogr"},{"key":"bibr7-20552076241279185","first-page":"138","volume":"20","author":"Ibrahim S","year":"2020","journal-title":"Indones J Electr Eng Comput Sci"},{"key":"bibr8-20552076241279185","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-020-0842-3"},{"key":"bibr9-20552076241279185","doi-asserted-by":"publisher","DOI":"10.1016\/j.jval.2016.09.1288"},{"key":"bibr10-20552076241279185","doi-asserted-by":"publisher","DOI":"10.1109\/PlatCon.2017.7883708"},{"key":"bibr11-20552076241279185","first-page":"137","volume":"109","author":"Dogan G","year":"2017","journal-title":"Measurement (Mahwah N J)"},{"key":"bibr12-20552076241279185","first-page":"80","volume-title":"2014 World congress on computing and communication technologies","author":"Senthilkumaran N","year":"2014"},{"key":"bibr13-20552076241279185","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00721"},{"key":"bibr14-20552076241279185","doi-asserted-by":"publisher","DOI":"10.1159\/000369402"},{"key":"bibr15-20552076241279185","doi-asserted-by":"publisher","DOI":"10.1016\/j.det.2013.06.007"},{"key":"bibr16-20552076241279185","first-page":"503","volume":"14","author":"Lee S-H","year":"2018","journal-title":"Int J Innov Comput Inf Control"},{"key":"bibr17-20552076241279185","doi-asserted-by":"crossref","first-page":"53","DOI":"10.3390\/app8010053","volume":"8","author":"Wang W-C","year":"2018","journal-title":"App Sci"},{"key":"bibr18-20552076241279185","doi-asserted-by":"publisher","DOI":"10.1109\/GCCE.2018.8574619"},{"key":"bibr19-20552076241279185","doi-asserted-by":"publisher","DOI":"10.1109\/VCIP.2018.8698739"},{"key":"bibr20-20552076241279185","doi-asserted-by":"publisher","DOI":"10.1109\/LifeTech48969.2020.1570617332"},{"key":"bibr21-20552076241279185","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3010847"},{"key":"bibr22-20552076241279185","first-page":"1265","volume":"34","author":"Sin-Ye J","year":"2022","journal-title":"Sens Mater"},{"key":"bibr23-20552076241279185","unstructured":"Dwyer B, Nelson J, Solawetz J. Roboflow (version 1.0). [Software]."},{"key":"bibr24-20552076241279185","unstructured":"Jocher G, Chaurasia A, Stoken A, et al. Ultralytics\/yolov5: v7.0 - YOLOv5 SOTA Realtime Instance Segmentation. Epub ahead of print November 2022. DOI: https:\/\/doi.org\/10.5281\/zenodo.7347926."},{"key":"bibr25-20552076241279185","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01284"},{"key":"bibr26-20552076241279185","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_2"},{"key":"bibr27-20552076241279185","volume-title":"Flask web development: Developing web applications with python","author":"Grinberg M","year":"2018"},{"key":"bibr28-20552076241279185","unstructured":"Using ngrok with flask, https:\/\/ngrok.com\/docs\/using-ngrok-with\/flask\/, 2024."},{"key":"bibr29-20552076241279185","unstructured":"WongKinYiu. GitHub - WongKinYiu\/yolov7: Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors, https:\/\/github.com\/WongKinYiu\/yolov7."},{"key":"bibr30-20552076241279185","unstructured":"Li C, Li L, Jiang H, et al. YOLOv6: A single-stage object detection framework for industrial applications.\n                      ArXiv\n                      ; abs\/2209.02976, https:\/\/api.semanticscholar.org\/CorpusID:252110986, 2022."},{"key":"bibr31-20552076241279185","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-52156-5_2"},{"key":"bibr32-20552076241279185","unstructured":"AI-Hub. Scalp Image by Type, https:\/\/aihub.or.kr\/aihubdata\/data\/view.do?currMenu=115&topMenu=100&aihubDataSe=realm&dataSetSn=216 (accessed 28 November 2023)."},{"key":"bibr33-20552076241279185","first-page":"417","volume":"9","author":"Narshana M","year":"2018","journal-title":"Int J Pharm Sci Res"},{"key":"bibr34-20552076241279185","unstructured":"Powar MAD, Nitave SA. 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