Cargando…

Whole Slide Images in Artificial Intelligence Applications in Digital Pathology: Challenges and Pitfalls

The use of digitized data in pathology research is rapidly increasing. The whole slide image (WSI) is an indispensable part of the visual examination of slides in digital pathology and artificial intelligence applications; therefore, the acquisition of WSI with the highest quality is essential. Unli...

Descripción completa

Detalles Bibliográficos
Autores principales: Basak, Kayhan, Ozyoruk, Kutsev Bengisu, Demir, Derya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Federation of Turkish Pathology Societies 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10518202/
https://www.ncbi.nlm.nih.gov/pubmed/36951221
http://dx.doi.org/10.5146/tjpath.2023.01601
_version_ 1785109462383591424
author Basak, Kayhan
Ozyoruk, Kutsev Bengisu
Demir, Derya
author_facet Basak, Kayhan
Ozyoruk, Kutsev Bengisu
Demir, Derya
author_sort Basak, Kayhan
collection PubMed
description The use of digitized data in pathology research is rapidly increasing. The whole slide image (WSI) is an indispensable part of the visual examination of slides in digital pathology and artificial intelligence applications; therefore, the acquisition of WSI with the highest quality is essential. Unlike the conventional routine of pathology, the digital conversion of tissue slides and the differences in its use pose difficulties for pathologists. We categorized these challenges into three groups: before, during, and after the WSI acquisition. The problems before WSI acquisition are usually related to the quality of the glass slide and reflect all existing problems in the analytical process in pathology laboratories. WSI acquisition problems are dependent on the device used to produce the final image file. They may be related to the parts of the device that create an optical image or the hardware and software that enable digitization. Post-WSI acquisition issues are related to the final image file itself, which is the final form of this data, or the software and hardware that will use this file. Because of the digital nature of the data, most of the difficulties are related to the capabilities of the hardware or software. Being aware of the challenges and pitfalls of using digital pathology and AI will make pathologists' integration to the new technologies easier in their daily practice or research.
format Online
Article
Text
id pubmed-10518202
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Federation of Turkish Pathology Societies
record_format MEDLINE/PubMed
spelling pubmed-105182022023-09-25 Whole Slide Images in Artificial Intelligence Applications in Digital Pathology: Challenges and Pitfalls Basak, Kayhan Ozyoruk, Kutsev Bengisu Demir, Derya Turk Patoloji Derg Review The use of digitized data in pathology research is rapidly increasing. The whole slide image (WSI) is an indispensable part of the visual examination of slides in digital pathology and artificial intelligence applications; therefore, the acquisition of WSI with the highest quality is essential. Unlike the conventional routine of pathology, the digital conversion of tissue slides and the differences in its use pose difficulties for pathologists. We categorized these challenges into three groups: before, during, and after the WSI acquisition. The problems before WSI acquisition are usually related to the quality of the glass slide and reflect all existing problems in the analytical process in pathology laboratories. WSI acquisition problems are dependent on the device used to produce the final image file. They may be related to the parts of the device that create an optical image or the hardware and software that enable digitization. Post-WSI acquisition issues are related to the final image file itself, which is the final form of this data, or the software and hardware that will use this file. Because of the digital nature of the data, most of the difficulties are related to the capabilities of the hardware or software. Being aware of the challenges and pitfalls of using digital pathology and AI will make pathologists' integration to the new technologies easier in their daily practice or research. Federation of Turkish Pathology Societies 2023-05-15 /pmc/articles/PMC10518202/ /pubmed/36951221 http://dx.doi.org/10.5146/tjpath.2023.01601 Text en Copyright © 2023 The Author(s). https://creativecommons.org/licenses/by/4.0/This is an open-access article published by Federation of Turkish Pathology Societies under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium or format, provided the original work is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Review
Basak, Kayhan
Ozyoruk, Kutsev Bengisu
Demir, Derya
Whole Slide Images in Artificial Intelligence Applications in Digital Pathology: Challenges and Pitfalls
title Whole Slide Images in Artificial Intelligence Applications in Digital Pathology: Challenges and Pitfalls
title_full Whole Slide Images in Artificial Intelligence Applications in Digital Pathology: Challenges and Pitfalls
title_fullStr Whole Slide Images in Artificial Intelligence Applications in Digital Pathology: Challenges and Pitfalls
title_full_unstemmed Whole Slide Images in Artificial Intelligence Applications in Digital Pathology: Challenges and Pitfalls
title_short Whole Slide Images in Artificial Intelligence Applications in Digital Pathology: Challenges and Pitfalls
title_sort whole slide images in artificial intelligence applications in digital pathology: challenges and pitfalls
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10518202/
https://www.ncbi.nlm.nih.gov/pubmed/36951221
http://dx.doi.org/10.5146/tjpath.2023.01601
work_keys_str_mv AT basakkayhan wholeslideimagesinartificialintelligenceapplicationsindigitalpathologychallengesandpitfalls
AT ozyorukkutsevbengisu wholeslideimagesinartificialintelligenceapplicationsindigitalpathologychallengesandpitfalls
AT demirderya wholeslideimagesinartificialintelligenceapplicationsindigitalpathologychallengesandpitfalls