Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 (Record no. 85808)
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| fixed length control field | 11590nam a22006375i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-030-87237-3 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240730164627.0 |
| 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 | 210923s2021 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9783030872373 |
| -- | 978-3-030-87237-3 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1007/978-3-030-87237-3 |
| 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 2021 |
| Medium | [electronic resource] : |
| Remainder of title | 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VIII / |
| Statement of responsibility, etc. | edited by Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2021. |
| 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 | 2021. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | XXXVIII, 704 p. 227 illus., 213 illus. in color. |
| 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 | 12908 |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Clinical Applications - Ophthalmology -- Relational Subsets Knowledge Distillation for Long-tailed Retinal Diseases Recognition -- Cross-domain Depth Estimation Network for 3D Vessel Reconstruction in OCT Angiography -- Distinguishing Differences Matters: Focal Contrastive Network for Peripheral Anterior Synechiae Recognition -- RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs using a Novel Multi-scale Generative Adversarial Network -- MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification -- Local-global Dual Perception based Deep Multiple Instance Learning for Retinal Disease Classification -- BSDA-Net: A Boundary Shape and Distance Aware Joint Learning Framework for Segmenting and Classifying OCTA Images -- LensID: A CNN-RNN-Based Framework Towards Lens Irregularity Detection in Cataract Surgery Videos -- I-SECRET: Importance-guided fundus image enhancement via semi-supervised contrastive constraining -- Few-shot Transfer Learning for Hereditary Retinal Diseases Recognition -- Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images -- Computational (Integrative) Pathology -- GQ-GCN: Group Quadratic Graph Convolutional Network for Classification of Histopathological Images -- Nuclei Grading of Clear Cell Renal Cell Carcinoma in Histopathological Image by Composite High-Resolution Network -- Prototypical models for classifying high-risk atypical breast lesions -- Hierarchical Attention Guided Framework for Multi-resolution Collaborative Whole Slide Image Segmentation -- Hierarchical Phenotyping and Graph Modeling of Spatial Architecture in Lymphoid Neoplasms -- A computational geometry approach for modeling neuronal fiber pathways -- TransPath: Transformer-based Self-supervised Learning for Histopathological Image Classification -- From Pixel to Whole Slide: Automatic Detection of Microvascular Invasion in Hepatocellular Carcinoma on Histopathological Image via Cascaded Networks -- DT-MIL: Deformable Transformer for Multi-instance Learning on Histopathological Image -- Early Detection of Liver Fibrosis Using Graph Convolutional Networks -- Hierarchical graph pathomic network for progression free survival prediction -- Increasing Consistency of Evoked Response in Thalamic Nuclei During Repetitive Burst Stimulation of Peripheral Nerve in Humans -- Weakly supervised pan-cancer segmentation tool -- Structure-Preserving Multi-Domain Stain Color Augmentation using Style-Transfer with Disentangled Representations -- MetaCon: Meta Contrastive Learning for Microsatellite Instability Detection -- Generalizing Nucleus Recognition Model in Multi-source Ki67 Immunohistochemistry Stained Images via Domain-specific Pruning -- Cells are Actors: Social Network Analysis with Classical ML for SOTA Histology Image Classification -- Instance-based Vision Transformer for Subtyping of Papillary Renal Cell Carcinoma in Histopathological Image -- Hybrid Supervision Learning for Whole Slide Image Classification -- MorphSet: Improving Renal Histopathology Case Assessment Through Learned Prognostic Vectors -- Accounting for Dependencies in Deep Learning based Multiple Instance Learning for Whole Slide Imaging -- Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks -- Pay Attention with Focus: A Novel Learning Scheme for Classification of Whole Slide Images -- Modalities - Microscopy -- Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field -- Semi-supervised Cell Detection in Time-lapse Images Using Temporal Consistency -- Cell Detection in Domain Shift Problem Using Pseudo-Cell-Position Heatmap -- 2D Histology Meets 3D Topology: Cytoarchitectonic Brain Mapping with Graph Neural Networks -- Annotation-efficient Cell Counting -- A Deep Learning Bidirectional Temporal Tracking Algorithm for Automated Blood Cell Counting from Non-invasive Capillaroscopy Videos -- Cell Detection from Imperfect Annotation by Pseudo Label Selection Using P-classification -- Learning Neuron Stitching for Connectomics -- CA^{2.5}-Net Nuclei Segmentation Framework with a Microscopy Cell Benchmark Collection -- Automated Malaria Cells Detection from Blood Smears under Severe Class Imbalance via Importance-aware Balanced Group Softmax -- Non-parametric vignetting correction for sparse spatial transcriptomics images -- Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy -- Deep Reinforcement Exemplar Learning for Annotation Refinement -- Modalities - Histopathology -- Instance-aware Feature Alignment for Cross-domain Cell Nuclei Detection in Histopathology Images -- Positive-unlabeled Learning for Cell Detection in Histopathology Images with Incomplete Annotations -- GloFlow: Whole Slide Image Stitching from Video using Optical Flow and Global Image Alignment -- Multi-modal Multi-instance Learning using Weakly Correlated Histopathological Images and Tabular Clinical Information -- Ranking loss: A ranking-based deep neural network for colorectal cancer grading in pathology images -- Spatial Attention-based Deep Learning System for Breast Cancer Pathological Complete Response Prediction with Serial Histopathology Images in Multiple Stains -- Integration of Patch Features through Self-Supervised Learning and Transformer for Survival Analysis on Whole Slide Images -- Contrastive Learning Based Stain Normalization Across Multiple Tumor Histopathology -- Semi-supervised Adversarial Learning for Stain Normalisation in Histopathology Images -- Learning Visual Features by Colorization for Slide-Consistent Survival Prediction from Whole Slide Images -- Adversarial learning of cancer tissue representations -- A Multi-attribute Controllable Generative Model for Histopathology Image Synthesis -- Modalities - Ultrasound -- USCL: Pretraining Deep Ultrasound Image Diagnosis Model through Video Contrastive Representation Learning -- Identifying Quantitative and Explanatory Tumor Indexes from Dynamic Contrast Enhanced Ultrasound -- Weakly-Supervised Ultrasound Video Segmentation with Minimal Annotations -- Content-Preserving Unpaired Translation from Simulated to Realistic Ultrasound Images -- Visual-Assisted Probe Movement Guidance for Obstetric Ultrasound Scanning using Landmark Retrieval -- Training Deep Networks for Prostate Cancer Diagnosis Using Coarse Histopathological Labels -- Rethinking Ultrasound Augmentation: A Physics-Inspired Approach. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.* The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning - advances in machine learning theory; machine learning - attention models; machine learning - domain adaptation; machine learning - federated learning; machine learning - interpretability / explainability; and machine learning - uncertainty Part IV: image registration; image-guided interventions and surgery; surgical data science; surgical planning and simulation; surgical skill and work flow analysis; and surgical visualization and mixed, augmented and virtual reality Part V: computer aided diagnosis; integration of imaging with non-imaging biomarkers; and outcome/disease prediction Part VI: image reconstruction; clinical applications - cardiac; and clinical applications - vascular Part VII: clinical applications - abdomen; clinical applications - breast; clinical applications - dermatology; clinical applications - fetal imaging; clinical applications - lung; clinical applications - neuroimaging - brain development; clinical applications - neuroimaging - DWI and tractography; clinical applications - neuroimaging - functional brain networks; clinical applications - neuroimaging - others; and clinical applications - oncology Part VIII: clinical applications - ophthalmology; computational (integrative) pathology; modalities - microscopy; modalities - histopathology; and modalities - ultrasound *The conference was held virtually. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computer vision. |
| 9 (RLIN) | 85418 |
| 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 | Pattern recognition systems. |
| 9 (RLIN) | 3953 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Medical informatics. |
| 9 (RLIN) | 4729 |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computer Vision. |
| 9 (RLIN) | 85420 |
| 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 | Automated Pattern Recognition. |
| 9 (RLIN) | 31568 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Health Informatics. |
| 9 (RLIN) | 31799 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | de Bruijne, Marleen. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 85422 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Cattin, Philippe C. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 85424 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Cotin, Stéphane. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 85425 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Padoy, Nicolas. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 85427 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Speidel, Stefanie. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 85428 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Zheng, Yefeng. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 85429 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Essert, Caroline. |
| Relator term | editor. |
| Authority record control number or standard number | (orcid) |
| Real World Object URI | 0000-0003-2572-9730 |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 85430 |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
| 9 (RLIN) | 85433 |
| 773 0# - HOST ITEM ENTRY | |
| Title | Springer Nature eBook |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9783030872366 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9783030872380 |
| 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 | 12908 |
| 9 (RLIN) | 85435 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://doi.org/10.1007/978-3-030-87237-3">https://doi.org/10.1007/978-3-030-87237-3</a> |
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| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks-Lecture Notes in CS |
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