Cargando…
Editorial: Bio-Inspired Physiological Signal(s) and Medical Image(s) Neural Processing Systems Based on Deep Learning and Mathematical Modeling for Implementing Bio-Engineering Applications in Medical and Industrial Fields
| Autores principales: | , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8586079/ https://www.ncbi.nlm.nih.gov/pubmed/34776917 http://dx.doi.org/10.3389/fninf.2021.763699 |
| _version_ | 1784597821681303552 |
|---|---|
| author | Rundo, Francesco Banna, Giuseppe Luigi Spampinato, Concetto Conoci, Sabrina |
| author_facet | Rundo, Francesco Banna, Giuseppe Luigi Spampinato, Concetto Conoci, Sabrina |
| author_sort | Rundo, Francesco |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-8586079 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2021 |
| publisher | Frontiers Media S.A. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-85860792021-11-13 Editorial: Bio-Inspired Physiological Signal(s) and Medical Image(s) Neural Processing Systems Based on Deep Learning and Mathematical Modeling for Implementing Bio-Engineering Applications in Medical and Industrial Fields Rundo, Francesco Banna, Giuseppe Luigi Spampinato, Concetto Conoci, Sabrina Front Neuroinform Neuroscience Frontiers Media S.A. 2021-10-29 /pmc/articles/PMC8586079/ /pubmed/34776917 http://dx.doi.org/10.3389/fninf.2021.763699 Text en Copyright © 2021 Rundo, Banna, Spampinato and Conoci. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
| spellingShingle | Neuroscience Rundo, Francesco Banna, Giuseppe Luigi Spampinato, Concetto Conoci, Sabrina Editorial: Bio-Inspired Physiological Signal(s) and Medical Image(s) Neural Processing Systems Based on Deep Learning and Mathematical Modeling for Implementing Bio-Engineering Applications in Medical and Industrial Fields |
| title | Editorial: Bio-Inspired Physiological Signal(s) and Medical Image(s) Neural Processing Systems Based on Deep Learning and Mathematical Modeling for Implementing Bio-Engineering Applications in Medical and Industrial Fields |
| title_full | Editorial: Bio-Inspired Physiological Signal(s) and Medical Image(s) Neural Processing Systems Based on Deep Learning and Mathematical Modeling for Implementing Bio-Engineering Applications in Medical and Industrial Fields |
| title_fullStr | Editorial: Bio-Inspired Physiological Signal(s) and Medical Image(s) Neural Processing Systems Based on Deep Learning and Mathematical Modeling for Implementing Bio-Engineering Applications in Medical and Industrial Fields |
| title_full_unstemmed | Editorial: Bio-Inspired Physiological Signal(s) and Medical Image(s) Neural Processing Systems Based on Deep Learning and Mathematical Modeling for Implementing Bio-Engineering Applications in Medical and Industrial Fields |
| title_short | Editorial: Bio-Inspired Physiological Signal(s) and Medical Image(s) Neural Processing Systems Based on Deep Learning and Mathematical Modeling for Implementing Bio-Engineering Applications in Medical and Industrial Fields |
| title_sort | editorial: bio-inspired physiological signal(s) and medical image(s) neural processing systems based on deep learning and mathematical modeling for implementing bio-engineering applications in medical and industrial fields |
| topic | Neuroscience |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8586079/ https://www.ncbi.nlm.nih.gov/pubmed/34776917 http://dx.doi.org/10.3389/fninf.2021.763699 |
| work_keys_str_mv | AT rundofrancesco editorialbioinspiredphysiologicalsignalsandmedicalimagesneuralprocessingsystemsbasedondeeplearningandmathematicalmodelingforimplementingbioengineeringapplicationsinmedicalandindustrialfields AT bannagiuseppeluigi editorialbioinspiredphysiologicalsignalsandmedicalimagesneuralprocessingsystemsbasedondeeplearningandmathematicalmodelingforimplementingbioengineeringapplicationsinmedicalandindustrialfields AT spampinatoconcetto editorialbioinspiredphysiologicalsignalsandmedicalimagesneuralprocessingsystemsbasedondeeplearningandmathematicalmodelingforimplementingbioengineeringapplicationsinmedicalandindustrialfields AT conocisabrina editorialbioinspiredphysiologicalsignalsandmedicalimagesneuralprocessingsystemsbasedondeeplearningandmathematicalmodelingforimplementingbioengineeringapplicationsinmedicalandindustrialfields |