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Artificial Intelligence in Digital Pathology: What Is the Future? Part 1: From the Digital Slide Onwards
This commentary aims to address the field of Artificial intelligence (AI) in Digital Pathology (DP) both in terms of the global situation and research perspectives. It has four polarities. First, it revisits the evolutions of digital pathology with particular care to the two fields of the digital cy...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8304979/ https://www.ncbi.nlm.nih.gov/pubmed/34356236 http://dx.doi.org/10.3390/healthcare9070858 |
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author | Giovagnoli, Maria Rosaria Giansanti, Daniele |
author_facet | Giovagnoli, Maria Rosaria Giansanti, Daniele |
author_sort | Giovagnoli, Maria Rosaria |
collection | PubMed |
description | This commentary aims to address the field of Artificial intelligence (AI) in Digital Pathology (DP) both in terms of the global situation and research perspectives. It has four polarities. First, it revisits the evolutions of digital pathology with particular care to the two fields of the digital cytology and the digital histology. Second, it illustrates the main fields in the employment of AI in DP. Third, it looks at the future directions of the research challenges from both a clinical and technological point of view. Fourth, it discusses the transversal problems among these challenges and implications and introduces the immediate work to implement. |
format | Online Article Text |
id | pubmed-8304979 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83049792021-07-25 Artificial Intelligence in Digital Pathology: What Is the Future? Part 1: From the Digital Slide Onwards Giovagnoli, Maria Rosaria Giansanti, Daniele Healthcare (Basel) Commentary This commentary aims to address the field of Artificial intelligence (AI) in Digital Pathology (DP) both in terms of the global situation and research perspectives. It has four polarities. First, it revisits the evolutions of digital pathology with particular care to the two fields of the digital cytology and the digital histology. Second, it illustrates the main fields in the employment of AI in DP. Third, it looks at the future directions of the research challenges from both a clinical and technological point of view. Fourth, it discusses the transversal problems among these challenges and implications and introduces the immediate work to implement. MDPI 2021-07-07 /pmc/articles/PMC8304979/ /pubmed/34356236 http://dx.doi.org/10.3390/healthcare9070858 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Commentary Giovagnoli, Maria Rosaria Giansanti, Daniele Artificial Intelligence in Digital Pathology: What Is the Future? Part 1: From the Digital Slide Onwards |
title | Artificial Intelligence in Digital Pathology: What Is the Future? Part 1: From the Digital Slide Onwards |
title_full | Artificial Intelligence in Digital Pathology: What Is the Future? Part 1: From the Digital Slide Onwards |
title_fullStr | Artificial Intelligence in Digital Pathology: What Is the Future? Part 1: From the Digital Slide Onwards |
title_full_unstemmed | Artificial Intelligence in Digital Pathology: What Is the Future? Part 1: From the Digital Slide Onwards |
title_short | Artificial Intelligence in Digital Pathology: What Is the Future? Part 1: From the Digital Slide Onwards |
title_sort | artificial intelligence in digital pathology: what is the future? part 1: from the digital slide onwards |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8304979/ https://www.ncbi.nlm.nih.gov/pubmed/34356236 http://dx.doi.org/10.3390/healthcare9070858 |
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