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PB2377: PREDICTING CELL OF ORIGIN FROM DIGITIZED IMAGES OF HEMATOXYLIN AND EOSIN-STAINED SLIDES OF DIFFUSE LARGE B-CELL LYMPHOMAS USING A CELL-BASED DEEP-LEARNING MODEL

Detalles Bibliográficos
Autores principales: Yuce, Anil, Gildenblat, Jacob, Abbasi-Sureshjani, Samaneh, Laurent, Camille, Korski, Konstanty
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10429522/
http://dx.doi.org/10.1097/01.HS9.0000976224.59008.50
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author Yuce, Anil
Gildenblat, Jacob
Abbasi-Sureshjani, Samaneh
Laurent, Camille
Korski, Konstanty
author_facet Yuce, Anil
Gildenblat, Jacob
Abbasi-Sureshjani, Samaneh
Laurent, Camille
Korski, Konstanty
author_sort Yuce, Anil
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spelling pubmed-104295222023-08-17 PB2377: PREDICTING CELL OF ORIGIN FROM DIGITIZED IMAGES OF HEMATOXYLIN AND EOSIN-STAINED SLIDES OF DIFFUSE LARGE B-CELL LYMPHOMAS USING A CELL-BASED DEEP-LEARNING MODEL Yuce, Anil Gildenblat, Jacob Abbasi-Sureshjani, Samaneh Laurent, Camille Korski, Konstanty Hemasphere Publication Only Lippincott Williams & Wilkins 2023-08-08 /pmc/articles/PMC10429522/ http://dx.doi.org/10.1097/01.HS9.0000976224.59008.50 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
Yuce, Anil
Gildenblat, Jacob
Abbasi-Sureshjani, Samaneh
Laurent, Camille
Korski, Konstanty
PB2377: PREDICTING CELL OF ORIGIN FROM DIGITIZED IMAGES OF HEMATOXYLIN AND EOSIN-STAINED SLIDES OF DIFFUSE LARGE B-CELL LYMPHOMAS USING A CELL-BASED DEEP-LEARNING MODEL
title PB2377: PREDICTING CELL OF ORIGIN FROM DIGITIZED IMAGES OF HEMATOXYLIN AND EOSIN-STAINED SLIDES OF DIFFUSE LARGE B-CELL LYMPHOMAS USING A CELL-BASED DEEP-LEARNING MODEL
title_full PB2377: PREDICTING CELL OF ORIGIN FROM DIGITIZED IMAGES OF HEMATOXYLIN AND EOSIN-STAINED SLIDES OF DIFFUSE LARGE B-CELL LYMPHOMAS USING A CELL-BASED DEEP-LEARNING MODEL
title_fullStr PB2377: PREDICTING CELL OF ORIGIN FROM DIGITIZED IMAGES OF HEMATOXYLIN AND EOSIN-STAINED SLIDES OF DIFFUSE LARGE B-CELL LYMPHOMAS USING A CELL-BASED DEEP-LEARNING MODEL
title_full_unstemmed PB2377: PREDICTING CELL OF ORIGIN FROM DIGITIZED IMAGES OF HEMATOXYLIN AND EOSIN-STAINED SLIDES OF DIFFUSE LARGE B-CELL LYMPHOMAS USING A CELL-BASED DEEP-LEARNING MODEL
title_short PB2377: PREDICTING CELL OF ORIGIN FROM DIGITIZED IMAGES OF HEMATOXYLIN AND EOSIN-STAINED SLIDES OF DIFFUSE LARGE B-CELL LYMPHOMAS USING A CELL-BASED DEEP-LEARNING MODEL
title_sort pb2377: predicting cell of origin from digitized images of hematoxylin and eosin-stained slides of diffuse large b-cell lymphomas using a cell-based deep-learning model
topic Publication Only
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10429522/
http://dx.doi.org/10.1097/01.HS9.0000976224.59008.50
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