{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,31]],"date-time":"2026-07-31T00:30:32Z","timestamp":1785457832486,"version":"3.56.0"},"reference-count":29,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2025,1,15]],"date-time":"2025-01-15T00:00:00Z","timestamp":1736899200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100003392","name":"Natural Science Foundation of Fujian Province","doi-asserted-by":"publisher","award":["2021J011361"],"award-info":[{"award-number":["2021J011361"]}],"id":[{"id":"10.13039\/501100003392","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82272955"],"award-info":[{"award-number":["82272955"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Oral Diseases"],"published-print":{"date-parts":[[2025,7]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>This study introduces a novel classification approach that combines convolutional neural network (CNN) and Raman mapping to differentiate between tongue squamous cell carcinoma (TSCC) and non\u2010tumorous tissue, as well as to identify different histological grades of TSCC.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and Methods<\/jats:title>\n                    <jats:p>In this study, 240 Raman mappings data from 30 tissue samples were collected from 15 patients who had undergone surgical resection for TSCC. A total of 18,000 sub\u2010mappings extracted from Raman mappings were then used to train and test a CNN model, which extracted feature representations that were subsequently processed through a fully connected network to perform classification tasks based on the Raman mapping data.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The experimental results indicated that the proposed method achieved competitive classification accuracy above 83%. To further validate the effectiveness of the Raman mapping, its performance was compared with Raman spectroscopy, demonstrating a competitive accuracy rate.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>The promising outcomes from this application of CNN in Raman mapping suggest that this technique could be a reliable method for intraoperative assessment of surgical margins, potentially leading to shorter detection times.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/odi.15231","type":"journal-article","created":{"date-parts":[[2025,1,16]],"date-time":"2025-01-16T01:06:24Z","timestamp":1736989584000},"page":"2046-2056","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Assessment of Surgical Margin of Tongue Squamous Cell Carcinoma via Raman Mapping"],"prefix":"10.1111","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-2558-3003","authenticated-orcid":false,"given":"Zhongxu","family":"Li","sequence":"first","affiliation":[{"name":"State Key Laboratory of Oral Diseases &amp; National Center for Stomatology &amp; National Clinical Research Center for Oral Diseases &amp; Department of Head and Neck Oncology Surgery, West China Hospital of Stomatology Sichuan University  Chengdu Sichuan China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lili","family":"Xue","sequence":"additional","affiliation":[{"name":"Department of Stomatology The First Affiliated Hospital of Xiamen University  Xiamen Fujian China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaobo","family":"Dai","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Oral Diseases &amp; National Center for Stomatology &amp; National Clinical Research Center for Oral Diseases &amp; Department of Head and Neck Oncology Surgery, West China Hospital of Stomatology Sichuan University  Chengdu Sichuan China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhixin","family":"Li","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Oral Diseases &amp; National Center for Stomatology &amp; National Clinical Research Center for Oral Diseases &amp; Department of Head and Neck Oncology Surgery, West China Hospital of Stomatology Sichuan University  Chengdu Sichuan China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhenxin","family":"Wu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Oral Diseases &amp; National Center for Stomatology &amp; National Clinical Research Center for Oral Diseases &amp; Department of Head and Neck Oncology Surgery, West China Hospital of Stomatology Sichuan University  Chengdu Sichuan 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