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A deep learning algorithm with high sensitivity for the detection of basal cell carcinoma in Mohs micrographic surgery frozen sections
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
by the American Academy of Dermatology, Inc.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7485548/ https://www.ncbi.nlm.nih.gov/pubmed/32926979 http://dx.doi.org/10.1016/j.jaad.2020.09.012 |
| _version_ | 1783581172246249472 |
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| author | Campanella, Gabriele Nehal, Kishwer S. Lee, Erica H. Rossi, Anthony Possum, Brandon Manuel, Genna Fuchs, Thomas J. Busam, Klaus J. |
| author_facet | Campanella, Gabriele Nehal, Kishwer S. Lee, Erica H. Rossi, Anthony Possum, Brandon Manuel, Genna Fuchs, Thomas J. Busam, Klaus J. |
| author_sort | Campanella, Gabriele |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-7485548 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2021 |
| publisher | by the American Academy of Dermatology, Inc. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-74855482020-09-14 A deep learning algorithm with high sensitivity for the detection of basal cell carcinoma in Mohs micrographic surgery frozen sections Campanella, Gabriele Nehal, Kishwer S. Lee, Erica H. Rossi, Anthony Possum, Brandon Manuel, Genna Fuchs, Thomas J. Busam, Klaus J. J Am Acad Dermatol Research Letter by the American Academy of Dermatology, Inc. 2021-11 2020-09-11 /pmc/articles/PMC7485548/ /pubmed/32926979 http://dx.doi.org/10.1016/j.jaad.2020.09.012 Text en © 2020 by the American Academy of Dermatology, Inc. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
| spellingShingle | Research Letter Campanella, Gabriele Nehal, Kishwer S. Lee, Erica H. Rossi, Anthony Possum, Brandon Manuel, Genna Fuchs, Thomas J. Busam, Klaus J. A deep learning algorithm with high sensitivity for the detection of basal cell carcinoma in Mohs micrographic surgery frozen sections |
| title | A deep learning algorithm with high sensitivity for the detection of basal cell carcinoma in Mohs micrographic surgery frozen sections |
| title_full | A deep learning algorithm with high sensitivity for the detection of basal cell carcinoma in Mohs micrographic surgery frozen sections |
| title_fullStr | A deep learning algorithm with high sensitivity for the detection of basal cell carcinoma in Mohs micrographic surgery frozen sections |
| title_full_unstemmed | A deep learning algorithm with high sensitivity for the detection of basal cell carcinoma in Mohs micrographic surgery frozen sections |
| title_short | A deep learning algorithm with high sensitivity for the detection of basal cell carcinoma in Mohs micrographic surgery frozen sections |
| title_sort | deep learning algorithm with high sensitivity for the detection of basal cell carcinoma in mohs micrographic surgery frozen sections |
| topic | Research Letter |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7485548/ https://www.ncbi.nlm.nih.gov/pubmed/32926979 http://dx.doi.org/10.1016/j.jaad.2020.09.012 |
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