Prognostic analysis of oral cancer based on deep learning

TNM（tumor node metastasis）classification is a common way to evaluate the prognosis of patients with oral cancer; however, many years of application have proven this method to be confined merely in clinical and pathological data and it cannot be adapted to the development of modern medicine. Deep lea...

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Autores principales:	TAO Qian, YUAN Zhe
Formato:	article
Lenguaje:	ZH
Publicado:	Editorial Department of Journal of Prevention and Treatment for Stomatological Diseases 2022
Materias:	oral cancer deep learning prognosis tnm classification medical imageology molecular image algorithm model Medicine R
Acceso en línea:	https://doaj.org/article/94898220d679417d8f71c7cc2356e7f0
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id	oai:doaj.org-article:94898220d679417d8f71c7cc2356e7f0
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spelling	oai:doaj.org-article:94898220d679417d8f71c7cc2356e7f02021-11-25T06:38:23ZPrognostic analysis of oral cancer based on deep learning10.12016/j.issn.2096-1456.2022.02.0012096-1456https://doaj.org/article/94898220d679417d8f71c7cc2356e7f02022-02-01T00:00:00Zhttp://www.kqjbfz.com/CN/10.12016/j.issn.2096-1456.2022.02.001https://doaj.org/toc/2096-1456TNM（tumor node metastasis）classification is a common way to evaluate the prognosis of patients with oral cancer; however, many years of application have proven this method to be confined merely in clinical and pathological data and it cannot be adapted to the development of modern medicine. Deep learning (DL) has been widely used in various aspects of human life, has advantages for conducting efficient and intelligent searches and can explore and analyze substantial medical information well. Additionally, the application of DL to medical practice is quickly increasing. In the field of oral cancer prognosis, DL can efficiently process and analyze the pathological, radiographic and molecular data of oral cancer patients represented by lymphocytes, gray level cooccurrence matrix (GLCM) and gene maps and make accurate prognostic judgments accordingly. By assisting physicians in optimizing treatment plans, DL can effectively improve patients’ survival. Although DL lacks sufficient data and practical clinical application in prognostic studies, it has shown good clinical application prospects.TAO QianYUAN ZheEditorial Department of Journal of Prevention and Treatment for Stomatological Diseasesarticleoral cancerdeep learningprognosistnm classificationmedical imageologymolecular imagealgorithmmodelMedicineRZH口腔疾病防治, Vol 30, Iss 2, Pp 77-82 (2022)
institution	DOAJ
collection	DOAJ
language	ZH
topic	oral cancer deep learning prognosis tnm classification medical imageology molecular image algorithm model Medicine R
spellingShingle	oral cancer deep learning prognosis tnm classification medical imageology molecular image algorithm model Medicine R TAO Qian YUAN Zhe Prognostic analysis of oral cancer based on deep learning
description	TNM（tumor node metastasis）classification is a common way to evaluate the prognosis of patients with oral cancer; however, many years of application have proven this method to be confined merely in clinical and pathological data and it cannot be adapted to the development of modern medicine. Deep learning (DL) has been widely used in various aspects of human life, has advantages for conducting efficient and intelligent searches and can explore and analyze substantial medical information well. Additionally, the application of DL to medical practice is quickly increasing. In the field of oral cancer prognosis, DL can efficiently process and analyze the pathological, radiographic and molecular data of oral cancer patients represented by lymphocytes, gray level cooccurrence matrix (GLCM) and gene maps and make accurate prognostic judgments accordingly. By assisting physicians in optimizing treatment plans, DL can effectively improve patients’ survival. Although DL lacks sufficient data and practical clinical application in prognostic studies, it has shown good clinical application prospects.
format	article
author	TAO Qian YUAN Zhe
author_facet	TAO Qian YUAN Zhe
author_sort	TAO Qian
title	Prognostic analysis of oral cancer based on deep learning
title_short	Prognostic analysis of oral cancer based on deep learning
title_full	Prognostic analysis of oral cancer based on deep learning
title_fullStr	Prognostic analysis of oral cancer based on deep learning
title_full_unstemmed	Prognostic analysis of oral cancer based on deep learning
title_sort	prognostic analysis of oral cancer based on deep learning
publisher	Editorial Department of Journal of Prevention and Treatment for Stomatological Diseases
publishDate	2022
url	https://doaj.org/article/94898220d679417d8f71c7cc2356e7f0
work_keys_str_mv	AT taoqian prognosticanalysisoforalcancerbasedondeeplearning AT yuanzhe prognosticanalysisoforalcancerbasedondeeplearning
_version_	1718413633413709824

Prognostic analysis of oral cancer based on deep learning

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