Počet záznamů: 1
IsletSwipe, a mobile platform for expert opinion exchange on islet graft images
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SYSNO ASEP 0571406 Druh ASEP J - Článek v odborném periodiku Zařazení RIV J - Článek v odborném periodiku Poddruh J Článek ve WOS Název IsletSwipe, a mobile platform for expert opinion exchange on islet graft images Tvůrce(i) Habart, D. (CZ)
Koza, A. (CZ)
Leontovyč, I. (CZ)
Kosinová, L. (CZ)
Berková, Z. (CZ)
Kříž, J. (CZ)
Zacharovová, K. (CZ)
Brinkhof, B. (NL)
Cornelissen, D. J. (NL)
Magrane, N. (GB)
Bittenglová, K. (CZ)
Čapek, Martin (FGU-C) RID, ORCID
Valečka, J. (CZ)
Habartová, Alena (UOCHB-X) RID
Saudek, F. (CZ)Číslo článku 2189873 Zdroj.dok. Islets. - : Landes Bioscience - ISSN 1938-2014
Roč. 15, č. 1 (2023)Poč.str. 15 s. Jazyk dok. eng - angličtina Země vyd. US - Spojené státy americké Klíč. slova consensus building ; deep learning ; expert opinion exchange ; ground truth ; human islets ; image annotation ; islet counting ; mobile application ; islet graft quality control ; islet isolation ; islet transplantation ; user experience Obor OECD Transplantation CEP NU22-01-00141 GA MZd - Ministerstvo zdravotnictví LX22NPO5104 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy LM2018129 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy EF18_046/0016045 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy Způsob publikování Open access Institucionální podpora FGU-C - RVO:67985823 ; UOCHB-X - RVO:61388963 UT WOS 000959035100001 EID SCOPUS 85151112347 DOI 10.1080/19382014.2023.2189873 Anotace We previously developed a deep learning-based web service (IsletNet) for an automated counting of isolated pancreatic islets. The neural network training is limited by the absent consensus on the ground truth annotations. Here, we present a platform (IsletSwipe) for an exchange of graphical opinions among experts to facilitate the consensus formation. The platform consists of a web interface and a mobile application. In a small pilot study, we demonstrate the functionalities and the use case scenarios of the platform. Nine experts from three centers validated the drawing tools, tested precision and consistency of the expert contour drawing, and evaluated user experience. Eight experts from two centers proceeded to evaluate additional images to demonstrate the following two use case scenarios. The Validation scenario involves an automated selection of images and islets for the expert scrutiny. It is scalable (more experts, images, and islets may readily be added) and can be applied to independent validation of islet contours from various sources. The Inquiry scenario serves the ground truth generating expert in seeking assistance from peers to achieve consensus on challenging cases during the preparation for IsletNet training. This scenario is limited to a small number of manually selected images and islets. The experts gained an opportunity to influence IsletNet training and to compare other experts’ opinions with their own. The ground truth-generating expert obtained feedback for future IsletNet training. IsletSwipe is a suitable tool for the consensus finding. Experts from additional centers are welcome to participate. Pracoviště Fyziologický ústav Kontakt Lucie Trajhanová, lucie.trajhanova@fgu.cas.cz, Tel.: 241 062 400 Rok sběru 2024 Elektronická adresa https://doi.org/10.1080/19382014.2023.2189873
Počet záznamů: 1