Deep Learning Model as a New Trend in Computer-aided Diagnosis of Tumor Pathology for Lung Cancer

Lung cancer is one of the main causes of cancer-related death in the world. The identification and characteristics of malignant cells are essential for the diagnosis and treatment of primary or metastatic cancers. Deep learning is a new field of artificial intelligence, which can be used for compute...

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Detalles Bibliográficos
Autores principales: Cong, Lei, Feng, Wanbing, Yao, Zhigang, Zhou, Xiaoming, Xiao, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2020
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7150458/
https://www.ncbi.nlm.nih.gov/pubmed/32284758
http://dx.doi.org/10.7150/jca.43268
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author Cong, Lei
Feng, Wanbing
Yao, Zhigang
Zhou, Xiaoming
Xiao, Wei
author_facet Cong, Lei
Feng, Wanbing
Yao, Zhigang
Zhou, Xiaoming
Xiao, Wei
author_sort Cong, Lei
collection PubMed
description Lung cancer is one of the main causes of cancer-related death in the world. The identification and characteristics of malignant cells are essential for the diagnosis and treatment of primary or metastatic cancers. Deep learning is a new field of artificial intelligence, which can be used for computer aided diagnosis and scientific research of lung cancer pathology by analyzing and learning through establishment and simulation of human brain. In this review, we will introduce the application, progress and problems of deep learning in pathology of lung cancer and make prospects for its future development.
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spelling pubmed-71504582020-04-13 Deep Learning Model as a New Trend in Computer-aided Diagnosis of Tumor Pathology for Lung Cancer Cong, Lei Feng, Wanbing Yao, Zhigang Zhou, Xiaoming Xiao, Wei J Cancer Review Lung cancer is one of the main causes of cancer-related death in the world. The identification and characteristics of malignant cells are essential for the diagnosis and treatment of primary or metastatic cancers. Deep learning is a new field of artificial intelligence, which can be used for computer aided diagnosis and scientific research of lung cancer pathology by analyzing and learning through establishment and simulation of human brain. In this review, we will introduce the application, progress and problems of deep learning in pathology of lung cancer and make prospects for its future development. Ivyspring International Publisher 2020-03-26 /pmc/articles/PMC7150458/ /pubmed/32284758 http://dx.doi.org/10.7150/jca.43268 Text en © The author(s) This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions.
spellingShingle Review
Cong, Lei
Feng, Wanbing
Yao, Zhigang
Zhou, Xiaoming
Xiao, Wei
Deep Learning Model as a New Trend in Computer-aided Diagnosis of Tumor Pathology for Lung Cancer
title Deep Learning Model as a New Trend in Computer-aided Diagnosis of Tumor Pathology for Lung Cancer
title_full Deep Learning Model as a New Trend in Computer-aided Diagnosis of Tumor Pathology for Lung Cancer
title_fullStr Deep Learning Model as a New Trend in Computer-aided Diagnosis of Tumor Pathology for Lung Cancer
title_full_unstemmed Deep Learning Model as a New Trend in Computer-aided Diagnosis of Tumor Pathology for Lung Cancer
title_short Deep Learning Model as a New Trend in Computer-aided Diagnosis of Tumor Pathology for Lung Cancer
title_sort deep learning model as a new trend in computer-aided diagnosis of tumor pathology for lung cancer
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7150458/
https://www.ncbi.nlm.nih.gov/pubmed/32284758
http://dx.doi.org/10.7150/jca.43268
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