A review of the application of deep learning in medical image classification and segmentation

Big medical data mainly include electronic health record data, medical image data, gene information data, etc. Among them, medical image data account for the vast majority of medical data at this stage. How to apply big medical data to clinical practice? This is an issue of great concern to medical...

Descripción completa

Detalles Bibliográficos
Autores principales: Cai, Lei, Gao, Jingyang, Zhao, Di
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2020
Materias:
Review Article on Medical Artificial Intelligent Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327346/
https://www.ncbi.nlm.nih.gov/pubmed/32617333
http://dx.doi.org/10.21037/atm.2020.02.44
_version_ 1783552523222646784
author Cai, Lei
Gao, Jingyang
Zhao, Di
author_facet Cai, Lei
Gao, Jingyang
Zhao, Di
author_sort Cai, Lei
collection PubMed
description Big medical data mainly include electronic health record data, medical image data, gene information data, etc. Among them, medical image data account for the vast majority of medical data at this stage. How to apply big medical data to clinical practice? This is an issue of great concern to medical and computer researchers, and intelligent imaging and deep learning provide a good answer. This review introduces the application of intelligent imaging and deep learning in the field of big data analysis and early diagnosis of diseases, combining the latest research progress of big data analysis of medical images and the work of our team in the field of big data analysis of medical imagec, especially the classification and segmentation of medical images.
format Online
Article
Text
id pubmed-7327346
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher AME Publishing Company
record_format MEDLINE/PubMed
spelling pubmed-73273462020-07-01 A review of the application of deep learning in medical image classification and segmentation Cai, Lei Gao, Jingyang Zhao, Di Ann Transl Med Review Article on Medical Artificial Intelligent Research Big medical data mainly include electronic health record data, medical image data, gene information data, etc. Among them, medical image data account for the vast majority of medical data at this stage. How to apply big medical data to clinical practice? This is an issue of great concern to medical and computer researchers, and intelligent imaging and deep learning provide a good answer. This review introduces the application of intelligent imaging and deep learning in the field of big data analysis and early diagnosis of diseases, combining the latest research progress of big data analysis of medical images and the work of our team in the field of big data analysis of medical imagec, especially the classification and segmentation of medical images. AME Publishing Company 2020-06 /pmc/articles/PMC7327346/ /pubmed/32617333 http://dx.doi.org/10.21037/atm.2020.02.44 Text en 2020 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Review Article on Medical Artificial Intelligent Research
Cai, Lei
Gao, Jingyang
Zhao, Di
A review of the application of deep learning in medical image classification and segmentation
title A review of the application of deep learning in medical image classification and segmentation
title_full A review of the application of deep learning in medical image classification and segmentation
title_fullStr A review of the application of deep learning in medical image classification and segmentation
title_full_unstemmed A review of the application of deep learning in medical image classification and segmentation
title_short A review of the application of deep learning in medical image classification and segmentation
title_sort review of the application of deep learning in medical image classification and segmentation
topic Review Article on Medical Artificial Intelligent Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327346/
https://www.ncbi.nlm.nih.gov/pubmed/32617333
http://dx.doi.org/10.21037/atm.2020.02.44
work_keys_str_mv AT cailei areviewoftheapplicationofdeeplearninginmedicalimageclassificationandsegmentation
AT gaojingyang areviewoftheapplicationofdeeplearninginmedicalimageclassificationandsegmentation
AT zhaodi areviewoftheapplicationofdeeplearninginmedicalimageclassificationandsegmentation
AT cailei reviewoftheapplicationofdeeplearninginmedicalimageclassificationandsegmentation
AT gaojingyang reviewoftheapplicationofdeeplearninginmedicalimageclassificationandsegmentation
AT zhaodi reviewoftheapplicationofdeeplearninginmedicalimageclassificationandsegmentation

Ejemplares similares