LEADER 00952nam a22002411i 4500 001 991002384499707536 005 20030724185630.0 008 030925s1951 it |||||||||||||||||ita 035 $ab12281220-39ule_inst 035 $aARCHE-032879$9ExL 040 $aBiblioteca Interfacoltà$bita$cA.t.i. Arché s.c.r.l. Pandora Sicilia s.r.l. 082 04$a945.753 245 00$aAttività della deputazione provinciale :$bnovembre 1948-giugno 1951 260 $aLecce :$bTip. Editrice salentina,$c1951 300 $a1 v. ;$c30 cm 650 4$aTerra d'Otranto (Provincia)$xAmministrazione 710 1 $aTerra d'Otranto 907 $a.b12281220$b02-04-14$c08-10-03 912 $a991002384499707536 945 $aLE002 Misc. I L 1/1$g1$iLE002-24698$lle002$o-$pE0.00$q-$rn$so $t0$u0$v0$w0$x0$y.i12673845$z08-10-03 996 $aAttività della deputazione provinciale$9164922 997 $aUNISALENTO 998 $ale002$b08-10-03$cm$da $e-$fita$git $h0$i1 LEADER 05213nam 22007335 450 001 996641270703316 005 20251225190454.0 010 $a9783031777868 010 $a3031777867 024 7 $a10.1007/978-3-031-77786-8 035 $a(MiAaPQ)EBC31881998 035 $a(Au-PeEL)EBL31881998 035 $a(CKB)37233319200041 035 $a(DE-He213)978-3-031-77786-8 035 $a(OCoLC)1492938715 035 $a(EXLCZ)9937233319200041 100 $a20250117d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMedical Optical Imaging and Virtual Microscopy Image Analysis $eSecond International Workshop, MOVI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings /$fedited by Yuankai Huo, Bryan A. Millis, Yuyin Zhou, Khaled Younis, Xiao Wang, Yucheng Tang 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (343 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v15371 311 08$a9783031777851 311 08$a3031777859 327 $aMedical Optical Imaging and Virtual Microscopy Image Analysis: A Deployable Microscopic Image Segmentation Look-Up Table Based on A Dilated CNN -- From Feature Maps to Few-Shot Cell Segmentation -- Deep Learning for Classifying Anti-Shigella Opsono-phagocytosis-promoting Monoclonal Antibodies -- Multi-target Stain Normalization for Histology Slides -- Intensity Inhomogeneity Correction for Large Panoramic Electron Microscopy Images -- Fully Automated CTC Detection, Segmentation and Classification for Multi-Channel IF Imaging -- Lymphoid Infiltration Assessment of the Tumor Margins in H&E Slides -- TRP-Net: Transformer with RMM and PPM for High-efficiency Circulating Abnormal Cells Detection in Multichannel Fluorescence Imaging -- Color Flow Imaging Microscopy Improves Identification of Stress Sources of Protein Aggregates in Biopharmaceuticals -- Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution -- CLSMI2T3: 3D CLSM Vasculature Volume Reconstruction from A Single 2D Slice by Off-Focal Plane Signal Using Synthetic Data -- Retinal IPA: Iterative KeyPoints Alignment for Multimodal Retinal Imaging -- MDSN: Multi-stage Context-Aware Nuclei Detection-Segmentation Network -- Structured Model Pruning for Efficient Inference in Computational Pathology -- Histopathology Image Embedding based on Foundation Models Features Aggregation for DLBCL Patient Treatment Response Prediction -- EM-Compressor: Electron Microscopy Image Compression in Connectomics with Variational Autoencoders. Kidney Pathology Image segmentation (KPIs) Challenge: AC-UNet: A Self-Adaptive Cropping Approach for Kidney Pathology Image Segmentation -- SAM-Glomeruli: Enhanced Segment Anything Model for Precise Glomeruli Segmentation -- A Robust Deep Learning Method for WSI-level Diseased Glomeruli Segmentation -- Ensembled SegNeXt Based Glomeruli Segmentation -- Glomeruli Segmentation in Whole-Slide Images: Is Better Local Performance Always Better. 330 $aThis book constitutes the refereed proceedings of the Second International Workshop on Medical Optical Imaging and Virtual Microscopy Image Analysis, MOVI 2024, held in conjunction with the 26th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco, in October 2024. The 21 regular papers presented at MOVI 2024 were carefully reviewed and selected from 29 submissions. They are grouped into these two topical sections: Medical Optical Imaging and Virtual Microscopy Image Analysis and Kidney Pathology Image segmentation (KPIs) Challenge. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v15371 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aArtificial intelligence 606 $aEducation$xData processing 606 $aApplication software 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aArtificial Intelligence 606 $aComputers and Education 606 $aComputer and Information Systems Applications 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aArtificial intelligence. 615 0$aEducation$xData processing. 615 0$aApplication software. 615 14$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aArtificial Intelligence. 615 24$aComputers and Education. 615 24$aComputer and Information Systems Applications. 676 $a006 700 $aHuo$b Yuankai$01783547 701 $aMillis$b Bryan A$01783548 701 $aZhou$b Yuyin$01783549 701 $aYounis$b Khaled$01783550 701 $aWang$b Xiao$01783551 701 $aTang$b Yucheng$01783552 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996641270703316 996 $aMedical Optical Imaging and Virtual Microscopy Image Analysis$94311420 997 $aUNISA