03056nam a22005055i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001700172072001500189072002300204072001400227245035400241250001800595264006900613300006500682336002600747337002600773338003600799347002400835490005900859505027200918520069901190650002901889650003601918650002901954650002901983650003602012650002902048700008902077700008702166710003402253773002602287776003602313776003602349830005902385856004602444912001402490912001502504912001402519999001702533978-3-031-55088-1DE-He21320251030111509.0cr nn 008mamaa240311s2024    sz |    s    |||| 0|eng d  a97830315508819978-3-031-55088-17 a10.1007/978-3-031-55088-12doi 4aQA75.5-76.95 7aUY2bicssc 7aCOM0000002bisacsh 7aUY2thema10aGraphs in Biomedical Image Analysis, and Overlapped Cell on Tissue Dataset for Histopathologyh[electronic resource] :b5th MICCAI Workshop, GRAIL 2023 and 1st MICCAI Challenge, OCELOT 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, September 23, and October 4, 2023, Proceedings /cedited by Seyed-Ahmad Ahmadi, Sérgio Pereira.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aXII, 172 p. 51 illus., 45 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aLecture Notes in Computer Science,x1611-3349 ;v143730 aArtificial intelligence. - Machine learning -- Modeling and simulation -- Life and medical sciences -- Design and analysis of algorithms -- Medical Imaging -- Image Segmentation -- Digital Pathology -- Health Informatics -- Geometric Deep Learning -- Graph Analytics.  aThis LNCS conference volume constitutes the proceedings of the MICCAI Workshop GRAIL 2023 and MICCAI Challenge OCELOT 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, September 23, and October 4, 2023. The 9 full papers (GRAIL 2023) and 6 full papers (OCELOT 2023) included in this volume were carefully reviewed and selected from GRAIL 14 (GRAIL 2023) and 6 (OCELOT 2023) submissions. The conference GRAIL 2023 a wide set of methods and application and OCELOT 2023 focuses on the cover a wide range of methods utilizing tissue information for better cell detection, in the sense of training strategy, model architecture, and especially how to model cell-tissue relationships. 0aComputer science.958552 0aArtificial intelligence.958441 0aMachine learning.95505914aComputer Science.95855224aArtificial Intelligence.95844124aMachine Learning.9550591 aAhmadi, Seyed-Ahmad.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9727401 aPereira, Sérgio.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9727412 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303155087408iPrinted edition:z9783031550898 0aLecture Notes in Computer Science,x1611-3349 ;v1437340uhttps://doi.org/10.1007/978-3-031-55088-1  aZDB-2-SCS  aZDB-2-SXCS  aZDB-2-LNC  c58213d58213