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PB1764: SEGMENTATION AND CLASSIFICATION OF BONE MARROW CELLS FROM MULTI-PRECISION NUMERIZATION OF BONE MARROW SMEARS (BMS) FROM PATIENTS WITH ACUTE MYELOID LEUKEMIA (AML) USING AI TECHNIQUES
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10430235/ http://dx.doi.org/10.1097/01.HS9.0000973912.51274.96 |
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author | Bennis, Achraf Leleux, Philippe Canali, Alban Pourtales, Caroline De Mouysset, Sandrine Simoncini, David Brousset, Pierre Frenois, Francois-Xavier Recher, Christian Alliot, Jean-Marc Rieu, Jean-Baptiste Bertoli, Sarah |
author_facet | Bennis, Achraf Leleux, Philippe Canali, Alban Pourtales, Caroline De Mouysset, Sandrine Simoncini, David Brousset, Pierre Frenois, Francois-Xavier Recher, Christian Alliot, Jean-Marc Rieu, Jean-Baptiste Bertoli, Sarah |
author_sort | Bennis, Achraf |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-10430235 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-104302352023-08-17 PB1764: SEGMENTATION AND CLASSIFICATION OF BONE MARROW CELLS FROM MULTI-PRECISION NUMERIZATION OF BONE MARROW SMEARS (BMS) FROM PATIENTS WITH ACUTE MYELOID LEUKEMIA (AML) USING AI TECHNIQUES Bennis, Achraf Leleux, Philippe Canali, Alban Pourtales, Caroline De Mouysset, Sandrine Simoncini, David Brousset, Pierre Frenois, Francois-Xavier Recher, Christian Alliot, Jean-Marc Rieu, Jean-Baptiste Bertoli, Sarah Hemasphere Publication Only Lippincott Williams & Wilkins 2023-08-08 /pmc/articles/PMC10430235/ http://dx.doi.org/10.1097/01.HS9.0000973912.51274.96 Text en Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access Abstract Book distributed under the Attribution-NonCommercial-NoDerivs (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) which allows third parties to download the articles and share them with others as long as they credit the author and the Abstract Book, but they cannot change the content in any way or use them commercially. |
spellingShingle | Publication Only Bennis, Achraf Leleux, Philippe Canali, Alban Pourtales, Caroline De Mouysset, Sandrine Simoncini, David Brousset, Pierre Frenois, Francois-Xavier Recher, Christian Alliot, Jean-Marc Rieu, Jean-Baptiste Bertoli, Sarah PB1764: SEGMENTATION AND CLASSIFICATION OF BONE MARROW CELLS FROM MULTI-PRECISION NUMERIZATION OF BONE MARROW SMEARS (BMS) FROM PATIENTS WITH ACUTE MYELOID LEUKEMIA (AML) USING AI TECHNIQUES |
title | PB1764: SEGMENTATION AND CLASSIFICATION OF BONE MARROW CELLS FROM MULTI-PRECISION NUMERIZATION OF BONE MARROW SMEARS (BMS) FROM PATIENTS WITH ACUTE MYELOID LEUKEMIA (AML) USING AI TECHNIQUES |
title_full | PB1764: SEGMENTATION AND CLASSIFICATION OF BONE MARROW CELLS FROM MULTI-PRECISION NUMERIZATION OF BONE MARROW SMEARS (BMS) FROM PATIENTS WITH ACUTE MYELOID LEUKEMIA (AML) USING AI TECHNIQUES |
title_fullStr | PB1764: SEGMENTATION AND CLASSIFICATION OF BONE MARROW CELLS FROM MULTI-PRECISION NUMERIZATION OF BONE MARROW SMEARS (BMS) FROM PATIENTS WITH ACUTE MYELOID LEUKEMIA (AML) USING AI TECHNIQUES |
title_full_unstemmed | PB1764: SEGMENTATION AND CLASSIFICATION OF BONE MARROW CELLS FROM MULTI-PRECISION NUMERIZATION OF BONE MARROW SMEARS (BMS) FROM PATIENTS WITH ACUTE MYELOID LEUKEMIA (AML) USING AI TECHNIQUES |
title_short | PB1764: SEGMENTATION AND CLASSIFICATION OF BONE MARROW CELLS FROM MULTI-PRECISION NUMERIZATION OF BONE MARROW SMEARS (BMS) FROM PATIENTS WITH ACUTE MYELOID LEUKEMIA (AML) USING AI TECHNIQUES |
title_sort | pb1764: segmentation and classification of bone marrow cells from multi-precision numerization of bone marrow smears (bms) from patients with acute myeloid leukemia (aml) using ai techniques |
topic | Publication Only |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10430235/ http://dx.doi.org/10.1097/01.HS9.0000973912.51274.96 |
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