{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,20]],"date-time":"2026-06-20T11:57:31Z","timestamp":1781956651932,"version":"3.54.5"},"reference-count":35,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2025,2,18]],"date-time":"2025-02-18T00:00:00Z","timestamp":1739836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,2,18]],"date-time":"2025-02-18T00:00:00Z","timestamp":1739836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/100020595","name":"National Science and Technology Council","doi-asserted-by":"publisher","award":["112-2634-F-006-002"],"award-info":[{"award-number":["112-2634-F-006-002"]}],"id":[{"id":"10.13039\/100020595","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100020595","name":"National Science and Technology Council","doi-asserted-by":"publisher","award":["112-2321-B-075-003"],"award-info":[{"award-number":["112-2321-B-075-003"]}],"id":[{"id":"10.13039\/100020595","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Digit Imaging. Inform. med."],"DOI":"10.1007\/s10278-025-01425-6","type":"journal-article","created":{"date-parts":[[2025,2,18]],"date-time":"2025-02-18T13:53:39Z","timestamp":1739886819000},"page":"4075-4089","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Mainecoon: Implementing an Open-Source Web Viewer for DICOM Whole Slide Images with AI-Integrated PACS for Digital Pathology"],"prefix":"10.1007","volume":"38","author":[{"given":"Chao-Wei","family":"Hsu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Si-Wei","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu-Ting","family":"Lee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kai-Hsuan","family":"Yao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tzu-Hsuan","family":"Hsu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pau-Choo","family":"Chung","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuan-Chia","family":"Chu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chen-Tsung","family":"Kuo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7230-6303","authenticated-orcid":false,"given":"Chung-Yueh","family":"Lien","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,2,18]]},"reference":[{"key":"1425_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-20379-9_9","volume-title":"Standards for Digital Pathology and Whole Slide Imaging","author":"BA Beckwith","year":"2016","unstructured":"Beckwith BA: Standards for Digital Pathology and Whole Slide Imaging, Cham: Springer International Publishing, 2016"},{"key":"1425_CR2","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1159\/000442823","volume":"83","author":"A Saco","year":"2016","unstructured":"Saco A, Ram\u00edrez J, Rakislova N, Mira A, Ordi J: Validation of Whole-Slide Imaging for Histolopathogical Diagnosis: Current State. Pathobiology 83:89-98, 2016","journal-title":"Pathobiology"},{"key":"1425_CR3","doi-asserted-by":"publisher","first-page":"738","DOI":"10.1177\/0192623320965893","volume":"49","author":"DA Clunie","year":"2021","unstructured":"Clunie DA: DICOM Format and Protocol Standardization\u2014A Core Requirement for Digital Pathology Success. Toxicologic Pathology 49:738-749, 2021","journal-title":"Toxicologic Pathology"},{"key":"1425_CR4","doi-asserted-by":"publisher","first-page":"409","DOI":"10.1136\/jclinpath-2020-206908","volume":"74","author":"EA Rakha","year":"2021","unstructured":"Rakha EA, et al.: Current and future applications of artificial intelligence in pathology: a clinical perspective. Journal of Clinical Pathology 74:409-414, 2021","journal-title":"Journal of Clinical Pathology"},{"key":"1425_CR5","unstructured":"DICOM Microscopy Bulk Simple Annotations Modules. Available at https:\/\/dicom.nema.org\/medical\/dicom\/current\/output\/chtml\/part03\/sect_C.37.html."},{"key":"1425_CR6","unstructured":"DICOM Work Group-26 Whole Slide Image Dataset. Available at ftp:\/\/medical.nema.org\/medical\/dicom\/DataSets\/WG26."},{"key":"1425_CR7","doi-asserted-by":"publisher","first-page":"104983","DOI":"10.1016\/j.cmpb.2019.104983","volume":"179","author":"N Lajara","year":"2019","unstructured":"Lajara N, Espinosa-Aranda JL, Deniz O, Bueno G: Optimum web viewer application for DICOM whole slide image visualization in anatomical pathology. Computer Methods and Programs in Biomedicine 179:104983, 2019","journal-title":"Computer Methods and Programs in Biomedicine"},{"key":"1425_CR8","doi-asserted-by":"publisher","first-page":"37","DOI":"10.4103\/jpi.jpi_42_18","volume":"9","author":"MD Herrmann","year":"2018","unstructured":"Herrmann MD, et al.: Implementing the DICOM Standard for Digital Pathology. Journal of Pathology Informatics 9:37, 2018","journal-title":"Journal of Pathology Informatics"},{"key":"1425_CR9","doi-asserted-by":"publisher","first-page":"10","DOI":"10.4103\/jpi.jpi_72_16","volume":"8","author":"PA Christensen","year":"2017","unstructured":"Christensen PA, Lee NE, Thrall MJ, Powell SZ, Chevez-Barrios P, Long SW: RecutClub.com: An Open Source, Whole Slide Image-based Pathology Education System. Journal of Pathology Informatics 8:10, 2017","journal-title":"Journal of Pathology Informatics"},{"key":"1425_CR10","doi-asserted-by":"publisher","first-page":"104983","DOI":"10.1016\/j.cmpb.2019.104983","volume":"179","author":"N Lajara","year":"2019","unstructured":"Lajara N, Espinosa-Aranda JL, Deniz O, Bueno G: Optimum web viewer application for DICOM whole slide image visualization in anatomical pathology. Comput Methods Programs Biomed 179:104983, 2019","journal-title":"Comput Methods Programs Biomed"},{"key":"1425_CR11","doi-asserted-by":"publisher","first-page":"16878","DOI":"10.1038\/s41598-017-17204-5","volume":"7","author":"P Bankhead","year":"2017","unstructured":"Bankhead P, et al.: QuPath: Open source software for digital pathology image analysis. Scientific Reports 7:16878, 2017","journal-title":"Scientific Reports"},{"key":"1425_CR12","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1038\/s41698-024-00499-9","volume":"8","author":"JR Kaczmarzyk","year":"2024","unstructured":"Kaczmarzyk JR, et al.: Open and reusable deep learning for pathology with WSInfer and QuPath. npj Precision Oncology 8:9, 2024","journal-title":"npj Precision Oncology"},{"key":"1425_CR13","unstructured":"Slim: Interoperable slide microscopy viewer and annotation tool for imaging data science and computational pathology. Available at https:\/\/github.com\/herrmannlab\/slim."},{"key":"1425_CR14","doi-asserted-by":"publisher","first-page":"1572","DOI":"10.1038\/s41467-023-37224-2","volume":"14","author":"C Gorman","year":"2023","unstructured":"Gorman C, et al.: Interoperable slide microscopy viewer and annotation tool for imaging data science and computational pathology. Nature Communications 14:1572, 2023","journal-title":"Nature Communications"},{"key":"1425_CR15","unstructured":"OpenLayers. Available at https:\/\/github.com\/OpenLayers\/OpenLayers."},{"key":"1425_CR16","unstructured":"dicomweb-wsi-viewer. Available at https:\/\/github.com\/GoogleCloudPlatform\/dicomweb-wsi-viewer."},{"key":"1425_CR17","doi-asserted-by":"publisher","first-page":"930","DOI":"10.1038\/s44222-023-00096-8","volume":"1","author":"AH Song","year":"2023","unstructured":"Song AH, et al.: Artificial intelligence for digital and computational pathology. Nature Reviews Bioengineering 1:930-949, 2023","journal-title":"Nature Reviews Bioengineering"},{"key":"1425_CR18","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1186\/s13000-023-01375-z","volume":"18","author":"S Shafi","year":"2023","unstructured":"Shafi S, Parwani AV: Artificial intelligence in diagnostic pathology. Diagnostic Pathology 18:109, 2023","journal-title":"Diagnostic Pathology"},{"key":"1425_CR19","doi-asserted-by":"publisher","first-page":"11579","DOI":"10.1038\/s41598-021-90444-8","volume":"11","author":"M Khened","year":"2021","unstructured":"Khened M, Kori A, Rajkumar H, Krishnamurthi G, Srinivasan B: A generalized deep learning framework for whole-slide image segmentation and analysis. Scientific Reports 11:11579, 2021","journal-title":"Scientific Reports"},{"key":"1425_CR20","doi-asserted-by":"publisher","first-page":"1041","DOI":"10.1007\/s10278-020-00348-8","volume":"33","author":"JH Sohn","year":"2020","unstructured":"Sohn JH, et al.: An Open-Source, Vender Agnostic Hardware and Software Pipeline for Integration of Artificial Intelligence in Radiology Workflow. Journal of Digital Imaging: the official journal of the Society for Computer Applications in Radiology 33:1041-1046, 2020","journal-title":"Journal of Digital Imaging: the official journal of the Society for Computer Applications in Radiology"},{"key":"1425_CR21","doi-asserted-by":"publisher","first-page":"162","DOI":"10.1016\/j.ebiom.2019.05.040","volume":"44","author":"Y Wang","year":"2019","unstructured":"Wang Y, et al.: IILS: Intelligent imaging layout system for automatic imaging report standardization and intra-interdisciplinary clinical workflow optimization. EBioMedicine 44:162-181, 2019","journal-title":"EBioMedicine"},{"key":"1425_CR22","doi-asserted-by":"publisher","first-page":"e195","DOI":"10.1016\/S2589-7500(20)30292-2","volume":"3","author":"UJ Muehlematter","year":"2021","unstructured":"Muehlematter UJ, Daniore P, Vokinger KN: Approval of artificial intelligence and machine learning-based medical devices in the USA and Europe (2015\u201320): a comparative analysis. The Lancet Digital Health 3:e195-e203, 2021","journal-title":"The Lancet Digital Health"},{"key":"1425_CR23","doi-asserted-by":"crossref","unstructured":"Korfiatis P, et al.: Implementing Artificial Intelligence Algorithms in the Radiology Workflow: Challenges and Considerations. Mayo Clinic Proceedings: Digital Health:100188, 2024","DOI":"10.1016\/j.mcpdig.2024.100188"},{"key":"1425_CR24","doi-asserted-by":"publisher","first-page":"1828","DOI":"10.1016\/j.cjca.2024.05.025","volume":"40","author":"P Theriault-Lauzier","year":"2024","unstructured":"Theriault-Lauzier P, et al.: A Responsible Framework for Applying Artificial Intelligence on Medical Images and Signals at the Point of Care: The PACS-AI Platform. Canadian Journal of Cardiology 40:1828-1840, 2024","journal-title":"Canadian Journal of Cardiology"},{"key":"1425_CR25","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1038\/s41591-018-0307-0","volume":"25","author":"J He","year":"2019","unstructured":"He J, Baxter SL, Xu J, Xu J, Zhou X, Zhang K: The practical implementation of artificial intelligence technologies in medicine. Nat Med 25:30-36, 2019","journal-title":"Nat Med"},{"key":"1425_CR26","doi-asserted-by":"publisher","first-page":"e190043","DOI":"10.1148\/ryai.2020190043","volume":"2","author":"M Reyes","year":"2020","unstructured":"Reyes M, et al.: On the Interpretability of Artificial Intelligence in Radiology: Challenges and Opportunities. Radiol Artif Intell 2:e190043-e190043, 2020","journal-title":"Radiol Artif Intell"},{"key":"1425_CR27","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1186\/s12916-019-1426-2","volume":"17","author":"CJ Kelly","year":"2019","unstructured":"Kelly CJ, Karthikesalingam A, Suleyman M, Corrado G, King D: Key challenges for delivering clinical impact with artificial intelligence. BMC Med 17:195-195, 2019","journal-title":"BMC Med"},{"key":"1425_CR28","doi-asserted-by":"publisher","first-page":"9527","DOI":"10.3390\/app13179527","volume":"13","author":"N Vallez","year":"2023","unstructured":"Vallez N, Espinosa-Aranda JL, Pedraza A, Deniz O, Bueno G: Deep Learning within a DICOM WSI Viewer for Histopathology. Applied Sciences 13:9527, 2023","journal-title":"Applied Sciences"},{"key":"1425_CR29","doi-asserted-by":"publisher","first-page":"221","DOI":"10.5858\/arpa.2018-0541-OA","volume":"144","author":"JA Retamero","year":"2019","unstructured":"Retamero JA, Aneiros-Fernandez J, del Moral RG: Complete Digital Pathology for Routine Histopathology Diagnosis in a Multicenter Hospital Network. Archives of Pathology & Laboratory Medicine 144:221-228, 2019","journal-title":"Archives of Pathology & Laboratory Medicine"},{"key":"1425_CR30","doi-asserted-by":"crossref","unstructured":"Yan F, Xu Z, Zhong YS, HaiBei Z, Ge CY: Research on Performance Optimization Scheme for Web Front-End and Its Practice: Communications, Signal Processing, and Systems. CSPS 2020. Lecture Notes in Electrical Engineering, 654, 2021.","DOI":"10.1007\/978-981-15-8411-4_118"},{"key":"1425_CR31","doi-asserted-by":"crossref","unstructured":"Oleshchenko L, Burchak P: Web Application State Management Performance Optimization Methods: Advances in Computer Science for Engineering and Education VI. ICCSEEA 2023. Lecture Notes on Data Engineering and Communications Technologies, 2023.","DOI":"10.1007\/978-3-031-36118-0_6"},{"key":"1425_CR32","unstructured":"Raccoon - Web-based DICOMWeb & FHIR ImagingStudy Server, Available at https:\/\/github.com\/cylab-tw\/raccoon."},{"key":"1425_CR33","unstructured":"Keycloak-authentication. Available at https:\/\/www.keycloak.org\/getting-started\/getting-started-docker"},{"key":"1425_CR34","unstructured":"Chung, P.C., Tsai, H.W., Wu, J.S., Lin, Y.H., & Cheng, K.-S., US Patent No. US20230289975A1, Segmentation method for lipid droplet in pathological slice image, 2023."},{"key":"1425_CR35","doi-asserted-by":"publisher","unstructured":"DICOM WG-26 Whole Slide Imaging Annotations Connectathon: Imaging Data Commons entry. Available at https:\/\/doi.org\/10.5281\/zenodo.10822033.","DOI":"10.5281\/zenodo.10822033"}],"container-title":["Journal of Imaging Informatics in Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-025-01425-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10278-025-01425-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-025-01425-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T19:24:15Z","timestamp":1765567455000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10278-025-01425-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,2,18]]},"references-count":35,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["1425"],"URL":"https:\/\/doi.org\/10.1007\/s10278-025-01425-6","relation":{},"ISSN":["2948-2933"],"issn-type":[{"value":"2948-2933","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,2,18]]},"assertion":[{"value":"24 September 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 January 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 January 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 February 2025","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}