03147nam a22005655i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001100172072001700183072002300200072001600223245020700239250001800446264006900464300006900533336002600602337002600628338003600654347002400690490005900714520091300773650002101686650002601707650003201733650002901765650003201794650004001826650002101866650003901887650002901926650002901955650004201984700008802026700008602114700008402200710003402284773002602318776003602344776003602380830005902416856004602475912001402521912001502535912001402550999001702564978-3-031-51026-7DE-He21320251030111358.0cr nn 008mamaa240120s2024    sz |    s    |||| 0|eng d  a97830315102679978-3-031-51026-77 a10.1007/978-3-031-51026-72doi 4aTA1634 7aUYQV2bicssc 7aCOM0160002bisacsh 7aUYQV2thema10aImage Analysis and Processing - ICIAP 2023 Workshopsh[electronic resource] :bUdine, Italy, September 11–15, 2023, Proceedings, Part II /cedited by Gian Luca Foresti, Andrea Fusiello, Edwin Hancock.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aXXIII, 505 p. 177 illus., 158 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aLecture Notes in Computer Science,x1611-3349 ;v14366  aThe two-volume set LNCS 14365 and 14366 constitutes the papers of workshops hosted by the 22nd International Conference on Image Analysis and Processing, ICIAP 2023, held in Udine, Italy, in September 2023. In total, 72 workshop papers and 10 industrial poster session papers have been accepted for publication. Part II of the set, volume 14366, contains 41 papers from the following workshops: – Medical Imaging Hub: • Artificial Intelligence and Radiomics in Computer-Aided Diagnosis (AIR- CAD) • Multi-Modal Medical Imaging Processing (M3IP) • Federated Learning in Medical Imaging and Vision (FedMed) – Digital Humanities Hub: • Artificial Intelligence for Digital Humanities (AI4DH) • Fine Art Pattern Extraction and Recognition (FAPER) • Pattern Recognition for Cultural Heritage (PatReCH) • Visual Processing of Digital Manuscripts: Workflows, Pipelines, Best Practices (ViDiScript). 0aComputer vision. 0aComputer engineering. 0aComputer networks .960157 0aMachine learning.955059 0aEducationxData processing. 0aPattern recognition systems.96554714aComputer Vision.24aComputer Engineering and Networks.24aMachine Learning.95505924aComputers and Education.24aAutomated Pattern Recognition.9655511 aForesti, Gian Luca.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9696961 aFusiello, Andrea.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9685371 aHancock, Edwin.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9696972 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303151025008iPrinted edition:z9783031510274 0aLecture Notes in Computer Science,x1611-3349 ;v1436640uhttps://doi.org/10.1007/978-3-031-51026-7  aZDB-2-SCS  aZDB-2-SXCS  aZDB-2-LNC  c57242d57242