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Predicting origin for bone metastatic cancer using deep learning-based pathology

Detalles Bibliográficos
Autores principales: Fang, Mengjie, Wang, Zipei, Tian, Jie, Dong, Di
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9900359/
https://www.ncbi.nlm.nih.gov/pubmed/36716573
http://dx.doi.org/10.1016/j.ebiom.2023.104449
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author Fang, Mengjie
Wang, Zipei
Tian, Jie
Dong, Di
author_facet Fang, Mengjie
Wang, Zipei
Tian, Jie
Dong, Di
author_sort Fang, Mengjie
collection PubMed
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spelling pubmed-99003592023-02-07 Predicting origin for bone metastatic cancer using deep learning-based pathology Fang, Mengjie Wang, Zipei Tian, Jie Dong, Di eBioMedicine Comment Elsevier 2023-01-28 /pmc/articles/PMC9900359/ /pubmed/36716573 http://dx.doi.org/10.1016/j.ebiom.2023.104449 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Comment
Fang, Mengjie
Wang, Zipei
Tian, Jie
Dong, Di
Predicting origin for bone metastatic cancer using deep learning-based pathology
title Predicting origin for bone metastatic cancer using deep learning-based pathology
title_full Predicting origin for bone metastatic cancer using deep learning-based pathology
title_fullStr Predicting origin for bone metastatic cancer using deep learning-based pathology
title_full_unstemmed Predicting origin for bone metastatic cancer using deep learning-based pathology
title_short Predicting origin for bone metastatic cancer using deep learning-based pathology
title_sort predicting origin for bone metastatic cancer using deep learning-based pathology
topic Comment
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9900359/
https://www.ncbi.nlm.nih.gov/pubmed/36716573
http://dx.doi.org/10.1016/j.ebiom.2023.104449
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AT tianjie predictingoriginforbonemetastaticcancerusingdeeplearningbasedpathology
AT dongdi predictingoriginforbonemetastaticcancerusingdeeplearningbasedpathology