Jan Siarov, Darshan Kumar, John Paoli, Johan Mölne, Martin Gillstedt, Noora Neittaanmäki
{"title":"更正:利用深度学习模型评估恶性白斑切除边缘的黑素细胞密度。","authors":"Jan Siarov, Darshan Kumar, John Paoli, Johan Mölne, Martin Gillstedt, Noora Neittaanmäki","doi":"10.1186/s13000-024-01545-7","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":11237,"journal":{"name":"Diagnostic Pathology","volume":"19 1","pages":"119"},"PeriodicalIF":2.4000,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11375920/pdf/","citationCount":"0","resultStr":"{\"title\":\"Correction: Utilizing deep learning model for assessing melanocytic density in resection margins of lentigo maligna.\",\"authors\":\"Jan Siarov, Darshan Kumar, John Paoli, Johan Mölne, Martin Gillstedt, Noora Neittaanmäki\",\"doi\":\"10.1186/s13000-024-01545-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":11237,\"journal\":{\"name\":\"Diagnostic Pathology\",\"volume\":\"19 1\",\"pages\":\"119\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2024-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11375920/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Diagnostic Pathology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s13000-024-01545-7\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PATHOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Diagnostic Pathology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s13000-024-01545-7","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PATHOLOGY","Score":null,"Total":0}
期刊介绍:
Diagnostic Pathology is an open access, peer-reviewed, online journal that considers research in surgical and clinical pathology, immunology, and biology, with a special focus on cutting-edge approaches in diagnostic pathology and tissue-based therapy. The journal covers all aspects of surgical pathology, including classic diagnostic pathology, prognosis-related diagnosis (tumor stages, prognosis markers, such as MIB-percentage, hormone receptors, etc.), and therapy-related findings. The journal also focuses on the technological aspects of pathology, including molecular biology techniques, morphometry aspects (stereology, DNA analysis, syntactic structure analysis), communication aspects (telecommunication, virtual microscopy, virtual pathology institutions, etc.), and electronic education and quality assurance (for example interactive publication, on-line references with automated updating, etc.).