Deep Learning in the Biomedical Applications: Recent and Future Status
Deep neural networks represent, nowadays, the most effective machine learning technology in biomedical domain. In this domain, the different areas of interest concern the Omics (study of the genome—genomics—and proteins—transcriptomics, proteomics, and metabolomics), bi...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-04-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/9/8/1526 |
| _version_ | 1818836585588719616 |
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| author | Ryad Zemouri Noureddine Zerhouni Daniel Racoceanu |
| author_facet | Ryad Zemouri Noureddine Zerhouni Daniel Racoceanu |
| author_sort | Ryad Zemouri |
| collection | DOAJ |
| description | Deep neural networks represent, nowadays, the most effective machine learning technology in biomedical domain. In this domain, the different areas of interest concern the Omics (study of the genome—genomics—and proteins—transcriptomics, proteomics, and metabolomics), bioimaging (study of biological cell and tissue), medical imaging (study of the human organs by creating visual representations), BBMI (study of the brain and body machine interface) and public and medical health management (PmHM). This paper reviews the major deep learning concepts pertinent to such biomedical applications. Concise overviews are provided for the Omics and the BBMI. We end our analysis with a critical discussion, interpretation and relevant open challenges. |
| first_indexed | 2024-12-19T03:08:57Z |
| format | Article |
| id | doaj.art-d640294e318a473484fb930f55fd10de |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-19T03:08:57Z |
| publishDate | 2019-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-d640294e318a473484fb930f55fd10de2022-12-21T20:38:04ZengMDPI AGApplied Sciences2076-34172019-04-0198152610.3390/app9081526app9081526Deep Learning in the Biomedical Applications: Recent and Future StatusRyad Zemouri0Noureddine Zerhouni1Daniel Racoceanu2CEDRIC Laboratory of the Conservatoire National des Arts et métiers (CNAM), HESAM Université, 292, rue Saint-Martin, 750141 Paris CEDEX 03, FranceFEMTO-ST, University of Bourgogne-Franche-Comté, 15B avenue des Montboucons, 25030 Besançon CEDEX, FranceSorbonne University, 4 Place Jussieu, 75005 Paris, FranceDeep neural networks represent, nowadays, the most effective machine learning technology in biomedical domain. In this domain, the different areas of interest concern the Omics (study of the genome—genomics—and proteins—transcriptomics, proteomics, and metabolomics), bioimaging (study of biological cell and tissue), medical imaging (study of the human organs by creating visual representations), BBMI (study of the brain and body machine interface) and public and medical health management (PmHM). This paper reviews the major deep learning concepts pertinent to such biomedical applications. Concise overviews are provided for the Omics and the BBMI. We end our analysis with a critical discussion, interpretation and relevant open challenges.https://www.mdpi.com/2076-3417/9/8/1526deep neural networksbiomedical applicationsOmicsmedical imagingbrain and body machine interface |
| spellingShingle | Ryad Zemouri Noureddine Zerhouni Daniel Racoceanu Deep Learning in the Biomedical Applications: Recent and Future Status Applied Sciences deep neural networks biomedical applications Omics medical imaging brain and body machine interface |
| title | Deep Learning in the Biomedical Applications: Recent and Future Status |
| title_full | Deep Learning in the Biomedical Applications: Recent and Future Status |
| title_fullStr | Deep Learning in the Biomedical Applications: Recent and Future Status |
| title_full_unstemmed | Deep Learning in the Biomedical Applications: Recent and Future Status |
| title_short | Deep Learning in the Biomedical Applications: Recent and Future Status |
| title_sort | deep learning in the biomedical applications recent and future status |
| topic | deep neural networks biomedical applications Omics medical imaging brain and body machine interface |
| url | https://www.mdpi.com/2076-3417/9/8/1526 |
| work_keys_str_mv | AT ryadzemouri deeplearninginthebiomedicalapplicationsrecentandfuturestatus AT noureddinezerhouni deeplearninginthebiomedicalapplicationsrecentandfuturestatus AT danielracoceanu deeplearninginthebiomedicalapplicationsrecentandfuturestatus |