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P122: DEEP LEARNING-BASED ALGORITHM FOR AUTOMATIC SPLEEN LENGTH MEASUREMENT

Detalles Bibliográficos
Autores principales: Yuan, Z, King, A, Inusa, B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8812078/
http://dx.doi.org/10.1097/01.HS9.0000821580.28068.0d
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author Yuan, Z
King, A
Inusa, B
author_facet Yuan, Z
King, A
Inusa, B
author_sort Yuan, Z
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spelling pubmed-88120782022-02-18 P122: DEEP LEARNING-BASED ALGORITHM FOR AUTOMATIC SPLEEN LENGTH MEASUREMENT Yuan, Z King, A Inusa, B Hemasphere Poster Presentations Lippincott Williams & Wilkins 2022-01-31 /pmc/articles/PMC8812078/ http://dx.doi.org/10.1097/01.HS9.0000821580.28068.0d Text en Copyright © 2022 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the European Hematology Association. 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 Poster Presentations
Yuan, Z
King, A
Inusa, B
P122: DEEP LEARNING-BASED ALGORITHM FOR AUTOMATIC SPLEEN LENGTH MEASUREMENT
title P122: DEEP LEARNING-BASED ALGORITHM FOR AUTOMATIC SPLEEN LENGTH MEASUREMENT
title_full P122: DEEP LEARNING-BASED ALGORITHM FOR AUTOMATIC SPLEEN LENGTH MEASUREMENT
title_fullStr P122: DEEP LEARNING-BASED ALGORITHM FOR AUTOMATIC SPLEEN LENGTH MEASUREMENT
title_full_unstemmed P122: DEEP LEARNING-BASED ALGORITHM FOR AUTOMATIC SPLEEN LENGTH MEASUREMENT
title_short P122: DEEP LEARNING-BASED ALGORITHM FOR AUTOMATIC SPLEEN LENGTH MEASUREMENT
title_sort p122: deep learning-based algorithm for automatic spleen length measurement
topic Poster Presentations
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8812078/
http://dx.doi.org/10.1097/01.HS9.0000821580.28068.0d
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