{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,8]],"date-time":"2024-09-08T00:18:45Z","timestamp":1725754725622},"reference-count":41,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"9","license":[{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100004359","name":"Vetenskapsr\u00e5det","doi-asserted-by":"publisher","award":["2021-03061"],"id":[{"id":"10.13039\/501100004359","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Academic Infrastructure for Supercomputing in Sweden"},{"DOI":"10.13039\/501100004359","name":"Vetenskapsr\u00e5det","doi-asserted-by":"publisher","award":["2022-06725","2018-05973"],"id":[{"id":"10.13039\/501100004359","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2024,9]]},"DOI":"10.1109\/jbhi.2024.3413533","type":"journal-article","created":{"date-parts":[[2024,6,12]],"date-time":"2024-06-12T17:45:56Z","timestamp":1718214356000},"page":"5312-5322","source":"Crossref","is-referenced-by-count":0,"title":["Unveiling the Power of Model-Agnostic Multiscale Analysis for Enhancing Artificial Intelligence Models in Breast Cancer Histopathology Images"],"prefix":"10.1109","volume":"28","author":[{"ORCID":"http:\/\/orcid.org\/0000-0002-7581-467X","authenticated-orcid":false,"given":"Nikos","family":"Tsiknakis","sequence":"first","affiliation":[{"name":"Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-3396-0644","authenticated-orcid":false,"given":"Georgios","family":"Manikis","sequence":"additional","affiliation":[{"name":"Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden"}]},{"ORCID":"http:\/\/orcid.org\/0009-0005-2109-4725","authenticated-orcid":false,"given":"Evangelos","family":"Tzoras","sequence":"additional","affiliation":[{"name":"Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-3020-0359","authenticated-orcid":false,"given":"Dimitrios","family":"Salgkamis","sequence":"additional","affiliation":[{"name":"Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden"}]},{"ORCID":"http:\/\/orcid.org\/0000-0001-5469-2944","authenticated-orcid":false,"given":"Joan Martinez","family":"Vidal","sequence":"additional","affiliation":[{"name":"Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden"}]},{"ORCID":"http:\/\/orcid.org\/0000-0001-5401-1803","authenticated-orcid":false,"given":"Kang","family":"Wang","sequence":"additional","affiliation":[{"name":"Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden"}]},{"ORCID":"http:\/\/orcid.org\/0000-0003-2549-3887","authenticated-orcid":false,"given":"Dimitris","family":"Zaridis","sequence":"additional","affiliation":[{"name":"Biomedical Research Institute, FORTH, Ioannina, Greece"}]},{"ORCID":"http:\/\/orcid.org\/0000-0001-9919-4471","authenticated-orcid":false,"given":"Emmanouil","family":"Sifakis","sequence":"additional","affiliation":[{"name":"Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-8304-2462","authenticated-orcid":false,"given":"Ioannis","family":"Zerdes","sequence":"additional","affiliation":[{"name":"Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden"}]},{"ORCID":"http:\/\/orcid.org\/0000-0001-5526-1847","authenticated-orcid":false,"given":"Jonas","family":"Bergh","sequence":"additional","affiliation":[{"name":"Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-6500-8527","authenticated-orcid":false,"given":"Johan","family":"Hartman","sequence":"additional","affiliation":[{"name":"Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-0972-4633","authenticated-orcid":false,"given":"Balazs","family":"Acs","sequence":"additional","affiliation":[{"name":"Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden"}]},{"ORCID":"http:\/\/orcid.org\/0000-0003-3783-5223","authenticated-orcid":false,"given":"Kostas","family":"Marias","sequence":"additional","affiliation":[{"name":"Institute of Computer Science, Foundation for Research and Technology Hellas, Heraklion, Greece"}]},{"ORCID":"http:\/\/orcid.org\/0000-0001-8952-9987","authenticated-orcid":false,"given":"Theodoros","family":"Foukakis","sequence":"additional","affiliation":[{"name":"Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2020.104129"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-018-0177-5"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/s41551-020-00682-w"},{"key":"ref4","first-page":"2136","article-title":"Transmil: Transformer based correlated multiple instance learning for whole slide image classification","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","author":"Shao","year":"2021"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19803-8_41"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/WACV56688.2023.00611"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01288"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01409"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00391"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2024.103124"},{"key":"ref11","first-page":"2127","article-title":"Attention-based deep multiple instance learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Ilse","year":"2018"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01567"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.120280"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.08.026"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01824"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-25082-8_43"},{"article-title":"Multi-level multiple instance learning with transformer for whole slide image classification","year":"2023","author":"Zhang","key":"ref17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC40787.2023.10341061"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01175"},{"key":"ref20","article-title":"Self-supervised vision transformers learn visual concepts in histopathology","volume-title":"Proc. Learn. Meaningful Representations Life","author":"Chen","year":"2021"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref22","article-title":"IBM CODAIT - center for open-source data & AI technologies"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/SYSMART.2016.7894491"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.annonc.2021.09.007"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1038\/s41379-021-00859-x"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2529665"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1002\/1878-0261.12654"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1158\/1078-0432.CCR-17-1535"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.molonc.2014.02.007"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1186\/bcr1325"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1038\/nm1095-1029"},{"issue":"3\/4","key":"ref32","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1093\/jnci\/88.3-4.173","article-title":"The p53 gene in breast cancer: Prognostic value of complementary DNA sequencing versus immunohistochemistry","volume":"88","author":"Sjgren","year":"1996","journal-title":"J. Nat. Cancer Inst."},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-021-04278-5"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-017-17204-5"},{"article-title":"SGDR: Stochastic gradient descent with warm restarts","year":"2016","author":"Loshchilov","key":"ref35"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2559.1991.tb00229.x"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3176091"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1038\/s41392-023-01347-1"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1038\/s41568-022-00544-4"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1038\/s41523-019-0117-7"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.101563"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6221020\/10666866\/10555143.pdf?arnumber=10555143","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T05:14:34Z","timestamp":1725686074000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10555143\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9]]},"references-count":41,"journal-issue":{"issue":"9"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2024.3413533","relation":{},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"type":"print","value":"2168-2194"},{"type":"electronic","value":"2168-2208"}],"subject":[],"published":{"date-parts":[[2024,9]]}}}