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001440047 020__ $$a9783030872373$$q(electronic bk.)
001440047 020__ $$a3030872378$$q(electronic bk.)
001440047 020__ $$z9783030872366
001440047 0247_ $$a10.1007/978-3-030-87237-3$$2doi
001440047 035__ $$aSP(OCoLC)1272882081
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001440047 049__ $$aISEA
001440047 050_4 $$aRC78.7.D53$$bI58 2021
001440047 08204 $$a616.07/54$$223
001440047 1112_ $$aInternational Conference on Medical Image Computing and Computer-Assisted Intervention$$n(24th :$$d2021 :$$cOnline)
001440047 24510 $$aMedical image computing and computer assisted intervention - MICCAI 2021 :$$b24th international conference, Strasbourg, France, September 27-October 1, 2021 : proceedings.$$nPart VIII /$$cMarleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert (eds.).
001440047 24630 $$aMICCAI 2021
001440047 264_1 $$aCham :$$bSpringer,$$c[2021]
001440047 264_4 $$c©2021
001440047 300__ $$a1 online resource (xxxviii, 704 pages) :$$billustrations (chiefly color)
001440047 336__ $$atext$$btxt$$2rdacontent
001440047 337__ $$acomputer$$bc$$2rdamedia
001440047 338__ $$aonline resource$$bcr$$2rdacarrier
001440047 4901_ $$aLecture notes in computer science ;$$v12908
001440047 4901_ $$aLNCS sublibrary: SL6 - Image processing, computer vision, pattern recognition, and graphics
001440047 500__ $$aInternational conference proceedings.
001440047 500__ $$aIncludes author index.
001440047 5050_ $$aClinical 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.
001440047 506__ $$aAccess limited to authorized users.
001440047 520__ $$aThe 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 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: 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 - 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.
001440047 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 1, 2021).
001440047 650_0 $$aDiagnostic imaging$$xData processing$$vCongresses.
001440047 650_6 $$aImagerie pour le diagnostic$$xInformatique$$vCongrès.
001440047 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001440047 655_7 $$aConference papers and proceedings.$$2lcgft
001440047 655_7 $$aActes de congrès.$$2rvmgf
001440047 655_0 $$aElectronic books.
001440047 7001_ $$aBruijne, Marleen de,$$eeditor.
001440047 7001_ $$aCattin, Philippe,$$eeditor.
001440047 7001_ $$aCotin, Stéphane,$$eeditor.
001440047 7001_ $$aPadoy, Nicolas,$$eeditor.
001440047 7001_ $$aSpeidel, Stefanie,$$eeditor.
001440047 7001_ $$aZheng, Yefeng,$$d1975-$$eeditor.
001440047 7001_ $$aEssert, Caroline,$$eeditor.
001440047 830_0 $$aLecture notes in computer science ;$$v12908.
001440047 830_0 $$aLNCS sublibrary.$$nSL 6,$$pImage processing, computer vision, pattern recognition, and graphics.
001440047 852__ $$bebk
001440047 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-87237-3$$zOnline Access$$91397441.1
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