Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 (Record no. 97046)
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| fixed length control field | 11901nam a22006975i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-030-59719-1 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240730202513.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 201002s2020 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9783030597191 |
| -- | 978-3-030-59719-1 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1007/978-3-030-59719-1 |
| Source of number or code | doi |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | TA1634 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UYQV |
| Source | bicssc |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM016000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UYQV |
| Source | thema |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.37 |
| Edition number | 23 |
| 245 10 - TITLE STATEMENT | |
| Title | Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 |
| Medium | [electronic resource] : |
| Remainder of title | 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part IV / |
| Statement of responsibility, etc. | edited by Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2020. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Cham : |
| Name of producer, publisher, distributor, manufacturer | Springer International Publishing : |
| -- | Imprint: Springer, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2020. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | XXXVII, 831 p. 22 illus. |
| Other physical details | online resource. |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | computer |
| Media type code | c |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Carrier type code | cr |
| Source | rdacarrier |
| 347 ## - DIGITAL FILE CHARACTERISTICS | |
| File type | text file |
| Encoding format | |
| Source | rda |
| 490 1# - SERIES STATEMENT | |
| Series statement | Image Processing, Computer Vision, Pattern Recognition, and Graphics, |
| International Standard Serial Number | 3004-9954 ; |
| Volume/sequential designation | 12264 |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Segmentation -- Deep Volumetric Universal Lesion Detection using Light-Weight Pseudo 3D Convolution and Surface Point Regression -- DeScarGAN: Disease-Specific Anomaly Detection with Weak Supervision -- KISEG: A Three-Stage Segmentation Framework for Multi-level Acceleration of Chest CT Scans from COVID-19 Patients -- CircleNet: Anchor-free Glomerulus Detection with Circle Representation -- Weakly supervised one-stage vision and language disease detection using large scale pneumonia and pneumothorax studies -- Diagnostic Assessment of Deep Learning Algorithms for Detection and Segmentation of Lesion in Mammographic images -- Efficient and Phase-aware Video Super-resolution for Cardiac MRI -- ImageCHD: A 3D Computed Tomography Image Dataset for Classification of Congenital Heart Disease -- Deep Generative Model-based Quality Control for Cardiac MRI Segmentation -- DeU-Net: Deformable U-Net for 3D Cardiac MRI Video Segmentation -- Learning Directional Feature Maps for Cardiac MRI Segmentation -- Joint Left Atrial Segmentation and Scar Quantification Based on a DNN with Spatial Encoding and Shape Attention -- XCAT-GAN for Synthesizing 3D Consistent Labeled Cardiac MR Images on Anatomically Variable XCAT Phantoms -- TexNet: Texture Loss Based Network for Gastric Antrum Segmentation in Ultrasound -- Multi-organ Segmentation via Co-training Weight-averaged Models from Few-organ Datasets -- Suggestive Annotation of Brain Tumour Images with Gradient-guided Sampling -- Pay More Attention to Discontinuity for Medical Image Segmentation -- Learning 3D Features with 2D CNNs via Surface Projection for CT Volume Segmentation -- Deep Class-specific Affinity-Guided Convolutional Network for Multimodal Unpaired Image Segmentation -- Memory-efficient Automatic Kidney and Tumor Segmentation Based on Non-local Context Guided 3D U-Net -- Deep Small Bowel Segmentation with Cylindrical Topological Constraints -- Learning Sample-adaptive Intensity Lookup Table for Brain Tumor Segmentation -- Superpixel-Guided Label Softening for Medical Image Segmentation -- Revisiting Rubik's Cube: Self-supervised Learning with Volume-wise Transformation for 3D Medical Image Segmentation -- Robust Medical Image Segmentation from Non-expert Annotations with Tri-network -- Robust Fusion of Probability Maps -- Calibrated Surrogate Maximization of Dice -- Uncertainty-Guided Efficient Interactive Refinement of Fetal Brain Segmentation from Stacks of MRI Slices -- Widening the focus: biomedical image segmentation challenges and the underestimated role of patch sampling and inference strategies -- Voxel2Mesh: 3D Mesh Model Generation from Volumetric Data -- Unsupervised Learning for CT Image Segmentation via Adversarial Redrawing -- Deep Active Contour Network for Medical Image Segmentation -- Learning Crisp Edge Detector Using Logical Refinement Network -- Defending Deep Learning-based Biomedical Image Segmentation from Adversarial Attacks: A Low-cost Frequency Refinement Approach -- CNN-GCN Aggregation Enabled Boundary Regression for Biomedical Image Segmentation -- KiU-Net: Towards Accurate Segmentation of Biomedical Images using Over-complete Representations -- LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation -- INSIDE: Steering Spatial Attention with Non-Imaging Information in CNNs -- SiamParseNet: Joint Body Parsing and Label Propagation in Infant Movement Videos -- Orchestrating Medical Image Compression and Remote Segmentation Networks -- Bounding Maps for Universal Lesion Detection -- Multimodal Priors Guided Segmentation of Liver Lesions in MRI Using Mutual Information Based Graph Co-Attention Networks -- Mt-UcGAN: Multi-task uncertainty-constrained GAN for joint segmentation, quantification and uncertainty estimation of renal tumors on CT -- Weakly Supervised Deep Learning for Breast Cancer Segmentation with Coarse Annotations -- Multi-phase and Multi-level Selective Feature Fusion for Automated Pancreas Segmentation from CT Images -- Asymmetrical Multi-Task Attention U-Net for the Segmentation of Prostate Bed in CT Image -- Learning High-Resolution and Efficient Non-local Features for Brain Glioma Segmentation in MR Images -- Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-Institutional Multi-Phase Partially-Annotated CT Scans -- Generation of Annotated Brain Tumor MRIs with Tumor-induced Tissue Deformations for Training and Assessment of Neural Networks -- E2Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans -- Universal loss reweighting to balance lesion size inequality in 3D medical image segmentation -- Brain tumor segmentation with missing modalities via latent multi-source correlation representation -- Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT Slices -- Scale-Space Autoencoders for Unsupervised Anomaly Segmentation in Brain MRI -- AlignShift: Bridging the Gap of Imaging Thickness in 3D Anisotropic Volumes -- One Click Lesion RECIST Measurement and Segmentation on CT Scans -- Automated Detection of Cortical Lesions in Multiple Sclerosis Patients with 7T MRI -- Deep Attentive Panoptic Model for Prostate Cancer Detection Using Biparametric MRI Scans -- Shape Models and Landmark Detection -- Graph Reasoning and Shape Constraints for Cardiac Segmentation in Congenital Heart Defect -- Nonlinear Regression on Manifolds for Shape Analysis using Intrinsic Bézier Splines -- Self-Supervised Discovery of Anatomical Shape Landmarks -- Shape Mask Generator: Learning to Refine Shape Priors for Segmenting Overlapping Cervical Cytoplasms -- Prostate motion modelling using biomechanically-trained deep neural networks on unstructured nodes -- Deep Learning Assisted Automatic Intra-operative 3D Aortic Deformation Reconstruction -- Landmarks Detection with Anatomical Constraints for Total Hip Arthroplasty Preoperative Measurements -- Instantiation-Net: 3D Mesh Reconstruction from Single 2D Image for Right Ventricle -- Miss the point: Targeted adversarial attack on multiple landmark detection -- Automatic Tooth Segmentation and Dense Correspondence of 3D Dental Model -- Move over there: One-click deformation correction for image fusion during endovascular aortic repair -- Non-Rigid Volume to Surface Registration using a Data-Driven Biomechanical Model -- Deformation Aware Augmented Reality for Craniotomy using 3D/2D Non-rigid Registration of Cortical Vessels -- Skip-StyleGAN: Skip-connected Generative Adversarial Networks for Generating 3D Rendered Image of Hand Bone Complex -- Dynamic multi-object Gaussian process models -- A kernelized multi-level localization method for flexible shape modeling with few training data -- Unsupervised Learning and Statistical Shape Modeling of the Morphometry and Hemodynamics of Coarctation of the Aorta -- Convolutional Bayesian Models for Anatomical Landmarking on Multi-Dimensional Shapes -- SAUNet: Shape Attentive U-Net for Interpretable Medical Image Segmentation -- Multi-Task Dynamic Transformer Network for Concurrent Bone Segmentation and Large-Scale Landmark Localization with Dental CBCT -- Automatic Localization of Landmarks in Craniomaxillofacial CBCT Images using a Local Attention-based Graph Convolution Network. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | The seven-volume set LNCS 12261, 12262, 12263, 12264, 12265, 12266, and 12267 constitutes the refereed proceedings of the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, held in Lima, Peru, in October 2020. The conference was held virtually due to the COVID-19 pandemic. The 542 revised full papers presented were carefully reviewed and selected from 1809 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: machine learning methodologies Part II: image reconstruction; prediction and diagnosis; cross-domain methods and reconstruction; domain adaptation; machine learning applications; generative adversarial networks Part III: CAI applications; image registration; instrumentation and surgical phase detection; navigation and visualization; ultrasound imaging; video image analysis Part IV: segmentation; shape models and landmark detection Part V: biological, optical, microscopic imaging; cell segmentation and stain normalization; histopathology image analysis; opthalmology Part VI: angiography and vessel analysis; breast imaging; colonoscopy; dermatology; fetal imaging; heart and lung imaging; musculoskeletal imaging Part VI: brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; positron emission tomography. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computer vision. |
| 9 (RLIN) | 171771 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Artificial intelligence. |
| 9 (RLIN) | 3407 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Social sciences |
| General subdivision | Data processing. |
| 9 (RLIN) | 83360 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Education |
| General subdivision | Data processing. |
| 9 (RLIN) | 82607 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Pattern recognition systems. |
| 9 (RLIN) | 3953 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Bioinformatics. |
| 9 (RLIN) | 9561 |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computer Vision. |
| 9 (RLIN) | 171772 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Artificial Intelligence. |
| 9 (RLIN) | 3407 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computer Application in Social and Behavioral Sciences. |
| 9 (RLIN) | 31815 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computers and Education. |
| 9 (RLIN) | 41129 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Automated Pattern Recognition. |
| 9 (RLIN) | 31568 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computational and Systems Biology. |
| 9 (RLIN) | 31619 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Martel, Anne L. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 171773 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Abolmaesumi, Purang. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 171774 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Stoyanov, Danail. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 171775 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Mateus, Diana. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 171776 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Zuluaga, Maria A. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 171777 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Zhou, S. Kevin. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 171778 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Racoceanu, Daniel. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 171779 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Joskowicz, Leo. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 171780 |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
| 9 (RLIN) | 171781 |
| 773 0# - HOST ITEM ENTRY | |
| Title | Springer Nature eBook |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9783030597184 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9783030597207 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Image Processing, Computer Vision, Pattern Recognition, and Graphics, |
| International Standard Serial Number | 3004-9954 ; |
| Volume/sequential designation | 12264 |
| 9 (RLIN) | 171782 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://doi.org/10.1007/978-3-030-59719-1">https://doi.org/10.1007/978-3-030-59719-1</a> |
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| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks-Lecture Notes in CS |
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