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P995: INDEED: A DEEP LEARNING MODEL FOR DIAGNOSIS AND SUBTYPES DIFFERENTIATION OF MYELOPROLIFERATIVE NEOPLASM BASED ON INTELLIGENCE NEURAL NETWORK

Detalles Bibliográficos
Autores principales: Wang, Rong, Shen, Wenyi, Shi, Zhongxun, Zhang, Yuan, Wei, Liangmin, Duan, Minghui, Xiao, Min, Wang, Jin, Chen, Suning, Wang, Qian, Huang, Jianyao, Hu, Xiaomei, Mei, Jinhong, List, Yang, Chen, Feng, LI, Jianyong, Wei, Yongyue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10431314/
http://dx.doi.org/10.1097/01.HS9.0000970884.72640.05
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author Wang, Rong
Shen, Wenyi
Shi, Zhongxun
Zhang, Yuan
Wei, Liangmin
Duan, Minghui
Xiao, Min
Wang, Jin
Chen, Suning
Wang, Qian
Huang, Jianyao
Hu, Xiaomei
Mei, Jinhong
List, Yang
Chen, Feng
LI, Jianyong
Wei, Yongyue
author_facet Wang, Rong
Shen, Wenyi
Shi, Zhongxun
Zhang, Yuan
Wei, Liangmin
Duan, Minghui
Xiao, Min
Wang, Jin
Chen, Suning
Wang, Qian
Huang, Jianyao
Hu, Xiaomei
Mei, Jinhong
List, Yang
Chen, Feng
LI, Jianyong
Wei, Yongyue
author_sort Wang, Rong
collection PubMed
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spelling pubmed-104313142023-08-17 P995: INDEED: A DEEP LEARNING MODEL FOR DIAGNOSIS AND SUBTYPES DIFFERENTIATION OF MYELOPROLIFERATIVE NEOPLASM BASED ON INTELLIGENCE NEURAL NETWORK Wang, Rong Shen, Wenyi Shi, Zhongxun Zhang, Yuan Wei, Liangmin Duan, Minghui Xiao, Min Wang, Jin Chen, Suning Wang, Qian Huang, Jianyao Hu, Xiaomei Mei, Jinhong List, Yang Chen, Feng LI, Jianyong Wei, Yongyue Hemasphere Posters Lippincott Williams & Wilkins 2023-08-08 /pmc/articles/PMC10431314/ http://dx.doi.org/10.1097/01.HS9.0000970884.72640.05 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 Posters
Wang, Rong
Shen, Wenyi
Shi, Zhongxun
Zhang, Yuan
Wei, Liangmin
Duan, Minghui
Xiao, Min
Wang, Jin
Chen, Suning
Wang, Qian
Huang, Jianyao
Hu, Xiaomei
Mei, Jinhong
List, Yang
Chen, Feng
LI, Jianyong
Wei, Yongyue
P995: INDEED: A DEEP LEARNING MODEL FOR DIAGNOSIS AND SUBTYPES DIFFERENTIATION OF MYELOPROLIFERATIVE NEOPLASM BASED ON INTELLIGENCE NEURAL NETWORK
title P995: INDEED: A DEEP LEARNING MODEL FOR DIAGNOSIS AND SUBTYPES DIFFERENTIATION OF MYELOPROLIFERATIVE NEOPLASM BASED ON INTELLIGENCE NEURAL NETWORK
title_full P995: INDEED: A DEEP LEARNING MODEL FOR DIAGNOSIS AND SUBTYPES DIFFERENTIATION OF MYELOPROLIFERATIVE NEOPLASM BASED ON INTELLIGENCE NEURAL NETWORK
title_fullStr P995: INDEED: A DEEP LEARNING MODEL FOR DIAGNOSIS AND SUBTYPES DIFFERENTIATION OF MYELOPROLIFERATIVE NEOPLASM BASED ON INTELLIGENCE NEURAL NETWORK
title_full_unstemmed P995: INDEED: A DEEP LEARNING MODEL FOR DIAGNOSIS AND SUBTYPES DIFFERENTIATION OF MYELOPROLIFERATIVE NEOPLASM BASED ON INTELLIGENCE NEURAL NETWORK
title_short P995: INDEED: A DEEP LEARNING MODEL FOR DIAGNOSIS AND SUBTYPES DIFFERENTIATION OF MYELOPROLIFERATIVE NEOPLASM BASED ON INTELLIGENCE NEURAL NETWORK
title_sort p995: indeed: a deep learning model for diagnosis and subtypes differentiation of myeloproliferative neoplasm based on intelligence neural network
topic Posters
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10431314/
http://dx.doi.org/10.1097/01.HS9.0000970884.72640.05
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