Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 (Record no. 97325)
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| fixed length control field | 10725nam a22005655i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-031-16434-7 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240730203055.0 |
| 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 | 220915s2022 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9783031164347 |
| -- | 978-3-031-16434-7 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1007/978-3-031-16434-7 |
| Source of number or code | doi |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | TA1637-1638 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | TJF |
| Source | bicssc |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UYT |
| Source | bicssc |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM012050 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | TJF |
| Source | thema |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UYT |
| Source | thema |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 621,382 |
| Edition number | 23 |
| 245 10 - TITLE STATEMENT | |
| Title | Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 |
| Medium | [electronic resource] : |
| Remainder of title | 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part II / |
| Statement of responsibility, etc. | edited by Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2022. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Cham : |
| Name of producer, publisher, distributor, manufacturer | Springer Nature Switzerland : |
| -- | Imprint: Springer, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2022. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | XL, 767 p. 218 illus., 215 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 | Lecture Notes in Computer Science, |
| International Standard Serial Number | 1611-3349 ; |
| Volume/sequential designation | 13432 |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Computational (Integrative) Pathology -- Semi-supervised histological image segmentation via hierarchical consistency enforcement -- Federated Stain Normalization for Computational Pathology -- DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification -- ReMix: A General and Efficient Framework for Multiple Instance Learning based Whole Slide Image Classification -- S3R: Self-supervised Spectral Regression for Hyperspectral Histopathology Image Classification -- Distilling Knowledge from Topological Representations for Pathological Complete Response Prediction -- SETMIL: Spatial Encoding Transformer-based Multiple Instance Learning for Pathological Image Analysis -- Clinical-realistic Annotation for Histopathology Images with Probabilistic Semi-supervision: A Worst-case Study -- End-to-end Learning for Image-based Detection of Molecular Alterations in Digital Pathology -- S5CL: Unifying Fully-Supervised, Self-Supervised, and Semi-Supervised Learning Through Hierarchical Contrastive Learning -- Sample hardness based gradient loss for long-tailed cervical cell detection -- Test-time image-to-image translation ensembling improves out-of-distribution generalization in histopathology -- Predicting molecular traits from tissue morphology through self-interactive multi-instance learning -- InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation -- Improved Domain Generalization for Cell Detection in Histopathology Images via Test-Time Stain Augmentation -- Transformer based multiple instance learning for weakly supervised histopathology image segmentation -- GradMix for nuclei segmentation and classification in imbalanced pathology image datasets -- Spatial-hierarchical Graph Neural Network with Dynamic Structure Learning for Histological Image Classification -- Gigapixel Whole-Slide Images Classification using Locally Supervised Learning -- Whole Slide Cervical Cancer Screening Using Graph Attention Network and Supervised Contrastive Learning -- RandStainNA: Learning Stain-Agnostic Features from Histology Slides by Bridging Stain Augmentation and Normalization -- Identify Consistent Imaging Genomic Biomarkers for Characterizing the Survival-associated Interactions between Tumor-infiltrating Lymphocytes and Tumors -- Semi-Supervised PR Virtual Staining for Breast Histopathological Images -- Benchmarking the Robustness of Deep Neural Networks to Common Corruptions in Digital Pathology -- Weakly Supervised Segmentation by Tensor Graph Learning for Whole Slide Images -- Test Time Transform Prediction for Open Set Histopathological Image Recognition -- Lesion-Aware Contrastive Representation Learning for Histopathology Whole Slide Images Analysis -- Kernel Attention Transformer (KAT) for Histopathology Whole Slide Image Classification -- Joint Region-Attention and Multi-Scale Transformer for Microsatellite Instability Detection from Whole Slide Images in Gastrointestinal Cancer -- Self-Supervised Pre-Training for NucleiSegmentation -- LifeLonger: A Benchmark for Continual Disease Classification -- Unsupervised Nuclei Segmentation using Spatial Organization Priors -- Visual deep learning-based explanation for neuritic plaques segmentation in Alzheimer's Disease using weakly annotated whole slide histopathological images -- MaNi: Maximizing Mutual Information for Nuclei Cross-Domain Unsupervised Segmentation -- Region-guided CycleGANs for Stain Transfer in Whole Slide Images -- Uncertainty Aware Sampling Framework of Weak-Label Learning for Histology Image Classification -- Local Attention Graph-based Transformer for Multi-target Genetic Alteration Prediction -- Incorporating intratumoral heterogeneity into weakly-supervised deep learning models via variance pooling -- Prostate Cancer Histology Synthesis using StyleGAN Latent Space Annotation -- Fast FF-to-FFPE Whole Slide Image Translation via Laplacian Pyramid and Contrastive Learning -- Feature Re-calibration based Multiple Instance Learning for Whole Slide Image Classification -- Computational Anatomy and Physiology -- Physiological Model based Deep Learning Framework for Cardiac TMP Recovery -- DentalPointNet: Landmark Localization on High-Resolution 3D Digital Dental Models -- Landmark-free Statistical Shape Modeling via Neural Flow Deformations -- Learning shape distributions from large databases of healthy organs: applications to zero-shot and few-shot abnormal pancreas detection -- From Images to Probabilistic Anatomical Shapes: A Deep Variational Bottleneck Approach -- Opthalmology -- Structure-consistent Restoration Network for Cataract Fundus Image Enhancement -- Unsupervised Domain Adaptive Fundus Image Segmentation with Category-level Regularization -- Degradation-invariant Enhancement of Fundus Images via Pyramid Constraint Network -- A Spatiotemporal Model for Precise and Efficient Fully-automatic 3D Motion Correction in OCT -- DA-Net: Dual Branch Transformer and Adaptive Strip Upsampling for Retinal Vessels Segmentation -- Visual explanations for the detection of diabetic retinopathy from retinal fundus images -- Multidimensional Hypergraph on Delineated Retinal Features for Pathological Myopia Task -- Unsupervised Lesion-Aware Transfer Learning for Diabetic Retinopathy Grading in Ultra-Wide-Field Fundus Photography -- Local-Region and Cross-Dataset Contrastive Learning for Retinal Vessel Segmentation -- Y-Net: A Spatiospectral Dual-Encoder Network for Medical Image Segmentation -- Camera Adaptation for Fundus-Image-Based CVD Risk Estimation -- Opinions Vary? Diagnosis First! -- Learning self-calibrated optic disc and cup segmentation from multi-rater annotations -- TINC: Temporally Informed Non-Contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes -- DRGen: Domain Generalization in Diabetic Retinopathy Classification -- Frequency-Aware Inverse-Consistent Deep Learning for OCT-Angiogram Super-Resolution -- A Multi-task Network with Weight Decay Skip Connection Training for Anomaly Detection in Retinal Fundus Images -- Multiscale Unsupervised Retinal Edema Area Segmentation in OCT Images -- SeATrans: Learning Segmentation-Assisted diagnosis model via Transformer -- Screening of Dementia on OCTA Images via Multi-projection Consistency and Complementarity -- Noise transfer for unsupervised domain adaptation of retinal OCT images -- Long-tailed Multi-label Retinal Diseases Recognition via Relational Learning and Knowledge Distillation -- Fetal Imaging -- Weakly Supervised Online Action Detection for Infant General Movements -- Super-Focus: Domain Adaptation for Embryo Imaging via Self-Supervised Focal Plane Regression -- SUPER-IVIM-DC: Intra-voxel incoherent motion based Fetal lung maturity assessment from limited DWI data using supervised learning coupled with data-consistency -- Automated Classification of General Movements in Infants Using Two-stream Spatiotemporal Fusion Network. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436, 13437, and 13438 constitutes the refereed proceedings of the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which was held in Singapore in September 2022. The 574 revised full papers presented were carefully reviewed and selected from 1831 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: Brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; heart and lung imaging; dermatology; Part II: Computational (integrative) pathology; computational anatomy and physiology; ophthalmology; fetal imaging; Part III: Breast imaging; colonoscopy; computer aided diagnosis; Part IV: Microscopic image analysis; positron emission tomography; ultrasound imaging; video data analysis; image segmentation I; Part V: Image segmentation II; integration of imaging with non-imaging biomarkers; Part VI: Image registration; image reconstruction; Part VII: Image-Guided interventions and surgery; outcome and disease prediction; surgical data science; surgical planning and simulation; machine learning - domain adaptation and generalization; Part VIII: Machine learning - weakly-supervised learning; machine learning - model interpretation; machine learning - uncertainty; machine learning theory and methodologies. . |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Image processing. |
| 9 (RLIN) | 7417 |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Image Processing. |
| 9 (RLIN) | 7417 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Wang, Linwei. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 174352 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Dou, Qi. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 174353 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Fletcher, P. Thomas. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 174354 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Speidel, Stefanie. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 174355 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Li, Shuo. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 174356 |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
| 9 (RLIN) | 174357 |
| 773 0# - HOST ITEM ENTRY | |
| Title | Springer Nature eBook |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9783031164330 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9783031164354 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Lecture Notes in Computer Science, |
| International Standard Serial Number | 1611-3349 ; |
| Volume/sequential designation | 13432 |
| 9 (RLIN) | 23263 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://doi.org/10.1007/978-3-031-16434-7">https://doi.org/10.1007/978-3-031-16434-7</a> |
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| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks-Lecture Notes in CS |
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