المؤلفون: Vesterinen, Tiina, Säilä, Jenni, Blom, Sami, Pennanen, Mirkka, Leijon, Helena, Arola, Johanna

المساهمون: HUSLAB, Institute for Molecular Medicine Finland, Department of Pathology, HUS Diagnostic Center

مصطلحات موضوعية: deep learning, digital pathology, Ki-67 proliferation index, neuroendocrine neoplasm, DIGITAL-IMAGE-ANALYSIS, QUANTIFICATION, CONCORDANCE, GUIDELINES, MANAGEMENT, AGREEMENT, Biomedicine, 11832 Microbiology and virology

وصف الملف: application/pdf

العلاقة: This work was supported by the Cancer Foundation Finland [no grant number] and the Helsinki University Hospital Research Fund [grant number TYH2019205].; Vesterinen , T , Säilä , J , Blom , S , Pennanen , M , Leijon , H & Arola , J 2022 , ' Automated assessment of Ki-67 proliferation index in neuroendocrine tumors by deep learning ' , APMIS , vol. 130 , no. 1 , pp. 11-20 . https://doi.org/10.1111/apm.13190Test; ORCID: /0000-0003-2997-0337/work/127503358; ORCID: /0000-0001-7510-3483/work/127509975; http://hdl.handle.net/10138/353551Test; 31dc16a2-b810-466d-9dcb-d6d669d0453a; 000720905300001

الإتاحة: http://hdl.handle.net/10138/353551Test

المؤلفون: Vesterinen, Tiina, Leijon, Helena, Mustonen, Harri, Remes, Satu, Knuuttila, Aija, Salmenkivi, Kaisa, Vainio, Paula, Arola, Johanna, Haglund, Caj

المساهمون: HUSLAB, Institute for Molecular Medicine Finland, Helsinki Institute of Life Science HiLIFE, Department of Pathology, HUS Abdominal Center, Clinicum, Department of Surgery, University of Helsinki, Department of Medicine, HUS Heart and Lung Center, Keuhkosairauksien yksikkö, II kirurgian klinikka, University Management, Translational Cancer Biology (TCB) Research Programme, Research Programs Unit

مصطلحات موضوعية: NEUROENDOCRINE-TUMORS, 2A IMMUNOHISTOCHEMISTRY, CONSENSUS GUIDELINES, LUNG, MANAGEMENT, MULTICENTER, NEOPLASMS, DIAGNOSIS, SUBTYPES, ANALOGS, 3121 General medicine, internal medicine and other clinical medicine, 3122 Cancers

وصف الملف: application/pdf

العلاقة: This work was supported by the Finnish Cancer Foundation and the Helsinki University Hospital Research Fund.; Vesterinen , T , Leijon , H , Mustonen , H , Remes , S , Knuuttila , A , Salmenkivi , K , Vainio , P , Arola , J & Haglund , C 2019 , ' Somatostatin Receptor Expression Is Associated With Metastasis and Patient Outcome in Pulmonary Carcinoid Tumors ' , Journal of Clinical Endocrinology and Metabolism , vol. 104 , no. 6 , pp. 2083-2093 . https://doi.org/10.1210/jc.2018-01931Test; ORCID: /0000-0001-5632-6796/work/60866212; ORCID: /0000-0003-2997-0337/work/83840576; b56ea67b-3f06-4a93-976b-5fd1a773f392; http://hdl.handle.net/10138/312911Test; 000471028400023

الإتاحة: http://hdl.handle.net/10138/312911Test

المؤلفون: Vesterinen, Tiina, Säilä, Jenni, Blom, Sami, Pennanen, Mirkka, Leijon, Helena, Arola, Johanna

المساهمون: HUSLAB, Institute for Molecular Medicine Finland, Department of Pathology, HUS Diagnostic Center

مصطلحات موضوعية: 11832 Microbiology and virology, Ki-67 proliferation index, neuroendocrine neoplasm, AGREEMENT, DIGITAL-IMAGE-ANALYSIS, MANAGEMENT, deep learning, 3111 Biomedicine, QUANTIFICATION, digital pathology, CONCORDANCE, GUIDELINES

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=od______1593::77bff3865cc9deab68fecf4200afd720Test
http://hdl.handle.net/10138/353551Test