Limit search to available items
Book Cover
E-book
Author International Conference on Medical Image Computing and Computer-Assisted Intervention (24th : 2021 : Online)

Title Medical image computing and computer assisted intervention - MICCAI 2021 : 24th international conference, Strasbourg, France, September 27-October 1, 2021 : proceedings. Part I / Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert (eds.)
Published Cham : Springer, [2021]
©2021

Copies

Description 1 online resource (xxxvii, 746 pages) : illustrations
Series Lecture notes in computer science ; 12901
LNCS sublibrary: SL6 - Image processing, computer vision, pattern recognition, and graphics
Lecture notes in computer science ; 12901.
LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics.
Contents Image Segmentation -- Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation -- TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation -- Pancreas CT Segmentation by Predictive Phenotyping -- Medical Transformer: Gated Axial-Attention for Medical Image Segmentation -- Anatomy-Constrained Contrastive Learning for Synthetic Segmentation without Ground-truth -- Study Group Learning: Improving Retinal Vessel Segmentation Trained with Noisy Labels -- Multi-phase Liver Tumor Segmentation with Spatial Aggregation and Uncertain Region Inpainting -- Convolution-Free Medical Image Segmentation using Transformer Networks -- Consistent Segmentation of Longitudinal Brain MR Images with Spatio-Temporal Constrained Networks -- A Multi-Branch Hybrid Transformer Network for Corneal Endothelial Cell Segmentation -- TransBTS: Multimodal Brain Tumor Segmentation Using Transformer -- Automatic Polyp Segmentation via Multi-scale Subtraction Network -- Patch-Free 3D Medical Image Segmentation Driven by Super-Resolution Technique and Self-Supervised Guidance -- Progressively Normalized Self-Attention Network for Video Polyp Segmentation -- SGNet: Structure-aware Graph-based Network for Airway Semantic Segmentation -- NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale -- AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions -- Improved Brain Lesion Segmentation with Anatomical Priors from Healthy Subjects -- CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation -- Boundary-aware Transformers for Skin Lesion Segmentation -- A Topological-Attention ConvLSTM Network and Its Application to EM Images -- BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation -- Multi-Task, Multi-Domain Deep Segmentation with Shared Representations and Contrastive Regularization for Sparse Pediatric Datasets -- TEDS-Net: Enforcing Diffeomorphisms in Spatial Transformers to Guarantee Topology Preservation in Segmentations -- Learning Consistency- and Discrepancy-Context for 2D Organ Segmentation -- Partial-supervised Learning for Vessel Segmentation in Ocular Images -- Unsupervised Network Learning for Cell Segmentation -- MT-UDA: Towards Unsupervised Cross-Modality Medical Image Segmentation with Limited Source Labels -- Context-aware virtual adversarial training for anatomically-plausible segmentation -- Interactive segmentation via deep learning and B-spline explicit active surfaces -- Multi-Compound Transformer for Accurate Biomedical Image Segmentation -- kCBAC-Net: Deeply Supervised Complete Bipartite Networks with Asymmetric Convolutions for Medical Image Segmentation -- Multi-frame Attention Network for Left Ventricle Segmentation in 3D Echocardiography -- Coarse-to-fine Segmentation of Organs at Risk in Nasopharyngeal Carcinoma Radiotherapy -- Joint Segmentation and Quantification of Main Coronary Vessels Using Dual-branch Multi-scale Attention Network -- A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation -- Comprehensive Importance-based Selective Regularization for Continual Segmentation Across Multiple Sites -- ReSGAN: Intracranial Hemorrhage Segmentation with Residuals of Synthetic Brain CT Scans -- Refined Local-imbalance-based Weight for Airway Segmentation in CT -- Selective Learning from External Data for CT Image Segmentation -- Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT -- MouseGAN: GAN-Based Multiple MRI Modalities Synthesis and Segmentation for Mouse Brain Structures -- Style Curriculum Learning for Robust Medical Image Segmentation -- Towards Efficient Human-Machine Collaboration: Real-Time Correction Effort Prediction for Ultrasound Data Acquisition -- Residual Feedback Network for Breast Lesion Segmentation in Ultrasound Image -- Learning to Address Intra-segment Misclassification in Retinal Imaging -- Flip Learning: Erase to Segment -- DC-Net: Dual Context Network for 2D Medical Image Segmentation -- LIFE: A Generalizable Autodidactic Pipeline for 3D OCT-A Vessel Segmentation -- Superpixel-guided Iterative Learning from Noisy Labels for Medical Image Segmentation -- A hybrid attention ensemble framework for zonal prostate segmentation -- 3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation -- HRENet: A Hard Region Enhancement Network for Polyp Segmentation -- A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images -- TumorCP: A Simple but Effective Object-Level Data Augmentation for Tumor Segmentation -- Modality-aware Mutual Learning for Multi-modal Medical Image Segmentation -- Hybrid graph convolutional neural networks for anatomical segmentation -- RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT Scans -- Hierarchical Self-Supervised Learning for Medical Image Segmentation Based on Multi-Domain Data Aggregation -- CCBANet: Cascading Context and Balancing Attention for Polyp Segmentation -- Point-Unet: A Context-aware Point-based Neural Network for Volumetric Segmentation -- TUN-Det: A Novel Network for Thyroid Ultrasound Nodule Detection -- Distilling effective supervision for robust medical image segmentation with noisy labels -- On the relationship between calibrated predictors and unbiased volume estimation -- High-resolution segmentation of lumbar vertebrae from conventional thick slice MRI -- Shallow Attention Network for Polyp Segmentation -- A Line to Align: Deep Dynamic Time Warping for Retinal OCT Segmentation -- Learnable Oriented-Derivative Network for Polyp Segmentation -- LambdaUNet: 2.5D Stroke Lesion Segmentation of Diffusion-weighted MR Images
Summary 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 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
Notes International conference proceedings
Includes author index
Online resource; title from PDF title page (SpringerLink, viewed October 1, 2021)
Subject Diagnostic imaging -- Data processing -- Congresses
Diagnostic imaging -- Data processing
Genre/Form proceedings (reports)
Conference papers and proceedings
Conference papers and proceedings.
Actes de congrès.
Form Electronic book
Author Bruijne, Marleen de, editor
Cattin, Philippe, editor.
Cotin, Stéphane, editor.
Padoy, Nicolas, editor
Speidel, Stefanie, editor.
Zheng, Yefeng, 1975- editor.
Essert, Caroline, editor
ISBN 9783030871932
3030871932
Other Titles MICCAI 2021