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...

Full description

Bibliographic Details
Main Authors: Kayhan BASAK, Kutsev Bengisu OZYORUK, Derya DEMIR
Format: Article
Language:English
Published: Federation of Turkish Pathology Societies 2023-05-01
Series:Türk Patoloji Dergisi
Subjects:
Online Access: http://www.turkjpath.org/pdf.php3?id=2039
_version_ 1827940693006352384
author Kayhan BASAK
Kutsev Bengisu OZYORUK
Derya DEMIR
author_facet Kayhan BASAK
Kutsev Bengisu OZYORUK
Derya DEMIR
author_sort Kayhan BASAK
collection DOAJ
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.
first_indexed 2024-03-13T09:13:15Z
format Article
id doaj.art-8a4ceaa1810c428db7d064412fea799a
institution Directory Open Access Journal
issn 1018-5615
1309-5730
language English
last_indexed 2024-03-13T09:13:15Z
publishDate 2023-05-01
publisher Federation of Turkish Pathology Societies
record_format Article
series Türk Patoloji Dergisi
spelling doaj.art-8a4ceaa1810c428db7d064412fea799a2023-05-26T16:19:37ZengFederation of Turkish Pathology SocietiesTürk Patoloji Dergisi1018-56151309-57302023-05-0139210110810.5146/tjpath.2023.01601Whole Slide Images in Artificial Intelligence Applications in Digital Pathology: Challenges and PitfallsKayhan BASAKKutsev Bengisu OZYORUKDerya DEMIRThe 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. http://www.turkjpath.org/pdf.php3?id=2039 whole slide imagesartificial intelligencedigital pathologychallenges
spellingShingle Kayhan BASAK
Kutsev Bengisu OZYORUK
Derya DEMIR
Whole Slide Images in Artificial Intelligence Applications in Digital Pathology: Challenges and Pitfalls
Türk Patoloji Dergisi
whole slide images
artificial intelligence
digital pathology
challenges
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 whole slide images
artificial intelligence
digital pathology
challenges
url http://www.turkjpath.org/pdf.php3?id=2039
work_keys_str_mv AT kayhanbasak wholeslideimagesinartificialintelligenceapplicationsindigitalpathologychallengesandpitfalls
AT kutsevbengisuozyoruk wholeslideimagesinartificialintelligenceapplicationsindigitalpathologychallengesandpitfalls
AT deryademir wholeslideimagesinartificialintelligenceapplicationsindigitalpathologychallengesandpitfalls