Diagnosis with confidence: deep learning for reliable classification of laryngeal dysplasia.
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| Title: | Diagnosis with confidence: deep learning for reliable classification of laryngeal dysplasia. |
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| Authors: | Lubrano M; Centre for Computational Biology (CBIO), Mines Paris, PSL University, Paris, France.; Keen Eye, Paris, France.; Tribun Health, Paris, France., Bellahsen-Harrar Y; Department of Pathology, APHP, Hôpital Européen Georges-Pompidou, Paris, France.; Université Paris Cité, Paris, France., Berlemont S; Keen Eye, Paris, France., Atallah S; Sorbonne Université, Paris, France.; Head and Neck Surgery Department, Hôpital Tenon, Paris, France., Vaz E; Department of Pathology, Hôpital Tenon, Paris, France., Walter T; Centre for Computational Biology (CBIO), Mines Paris, PSL University, Paris, France.; Institut Curie, PSL Université, Paris, France.; INSERM U900, Paris, France., Badoual C; Department of Pathology, APHP, Hôpital Européen Georges-Pompidou, Paris, France.; Université Paris Cité, Paris, France. |
| Source: | Histopathology [Histopathology] 2024 Jan; Vol. 84 (2), pp. 343-355. Date of Electronic Publication: 2023 Oct 23. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Blackwell Scientific Publications Country of Publication: England NLM ID: 7704136 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1365-2559 (Electronic) Linking ISSN: 03090167 NLM ISO Abbreviation: Histopathology Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1365-2559 |
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| DOI: | 10.1111/his.15067 |
