Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 : 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part V / edited by Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz.

Format:

Book

Contributor:

Martel, Anne L., Editor.

Abolmaesumi, Purang, Editor.

Stoyanov, Danail, Editor.

Mateus, Diana., Editor.

Zuluaga, Maria A., Editor.

Zhou, S. Kevin, Editor.

Racoceanu, Daniel, Editor.

Joskowicz, Leo., Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 12265

Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 12265

Language:

English

Subjects (All):

Computer vision.

Artificial intelligence.

Pattern recognition systems.

Social sciences-Data processing.

Education-Data processing.

Computer Vision.

Artificial Intelligence.

Automated Pattern Recognition.

Computer Application in Social and Behavioral Sciences.

Computers and Education.

Local Subjects:

Computer Vision.

Artificial Intelligence.

Automated Pattern Recognition.

Computer Application in Social and Behavioral Sciences.

Computers and Education.

Physical Description:

1 online resource (XXXVII, 811 pages) : 11 illustrations

Edition:

1st ed. 2020.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2020.

System Details:

text file PDF

Summary:

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.

Contents:

Biological, Optical, Microscopic Imaging

Channel Embedding for Informative Protein Identification from Highly Multiplexed Images

Demixing Calcium Imaging Data in C. elegans via Deformable Non-negative Matrix Factorization

Automated Measurements of Key Morphological Features of Human Embryos for IVF

A Novel Approach to Tongue Standardization and Feature Extraction

Patch-based Non-Local Bayesian Networks for Blind Confocal Microscopy Denoising

Attention-guided Quality Assessment for Automated Cryo-EM Grid Screening

MitoEM Dataset: Large-scale 3D Mitochondria Instance Segmentation from EM Images

Learning Guided Electron Microscopy with Active Acquisition

Neuronal Subcompartment Classification and Merge Error Correction

Microtubule Tracking in Electron Microscopy Volumes

Leveraging Tools from Autonomous Navigation for Rapid, Robust Neuron Connectivity

Statistical Atlas of C.elegans Neurons

Probabilistic Segmentation and Labeling of C. elegans Neurons

Segmenting Continuous but Sparsely-Labeled Structures in Super-Resolution Microscopy Using Perceptual Grouping

DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging

Isotropic Reconstruction of 3D EM Images with Unsupervised Degradation Learning

Background and illumination correction for time-lapse microscopy data with correlated foreground

Joint Spatial-Wavelet Dual-Stream Network for Super-Resolution

Towards Neuron Segmentation from Macaque Brain Images: A Weakly Supervised Approach

3D Reconstruction and Segmentation of Dissection Photographs for MRI-free Neuropathology

DistNet: Deep Tracking by displacement regression: application to bacteria growing in the Mother Machine

A weakly supervised deep learning approach for detecting malaria and sickle cell anemia in blood films

Imaging Scattering Characteristics of Tissue in Transmitted Microscopy

Attention based multiple instance learning for classification of blood cell disorders

A generative modeling approach for interpreting population-level variability in brain structure

Processing-Aware Real-Time Rendering for Optimized Tissue Visualization in Intraoperative 4D OCT

Cell Segmentation and Stain Normalization

Boundary-assisted Region Proposal Networks for Nucleus Segmentation

binary coded decimalata: A Large-Scale Dataset and Benchmark for Cell Detection and Counting

Weakly-Supervised Nucleus Segmentation Based on Point Annotations: A Coarse-to-Fine Self-Stimulated Learning Strategy

Structure Preserving Stain Normalization of Histopathology Images Using Self Supervised Semantic Guidance

A Novel Loss Calibration Strategy for Object Detection Networks Training on Sparsely Annotated Pathological Datasets

Histopathological Stain Transfer Using Style Transfer Network With Adversarial Loss

Instance-aware Self-supervised Learning for Nuclei Segmentation

StyPath: Style-Transfer Data Augmentation For Robust Histology Image Classification

Multimarginal Wasserstein Barycenter for Stain Normalization and Augmentation

Corruption-Robust Enhancement of Deep Neural Networks for Classification of Peripheral Blood Smear Images

Multi-Field of View Aggregation and Context Encoding for Single-Stage Nucleus Recognition

Self-Supervised Nuclei Segmentation in Histopathological Images Using Attention

FocusLiteNN: High Efficiency Focus Quality Assessment for Digital Pathology

Histopathology Image Analysis

Pairwise Relation Learning for Semi-supervised Gland Segmentation

Ranking-Based Survival Prediction on Histopathological Whole-Slide Images

Renal Cell Carcinoma Detection and Subtyping with Minimal Point-Based Annotation in Whole-Slide Images

Censoring-Aware Deep Ordinal Regression for Survival Prediction from Pathological Images

Tracing Diagnosis Paths on Histopathology WSIs for Diagnostically Relevant Case Recommendation

Weakly supervised multiple instance learning histopathological tumor segmentation

Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer

Microscopic fine-grained instance classification through deep attention

A Deformable CRF Model for Histopathology Whole-slide Image Classification

Deep Active Learning for Breast Cancer Segmentation on Immunohistochemistry Images

Multiple Instance Learning with Center Embeddings for Histopathology Classification

Graph Attention Multi-instance Learning for Accurate Colorectal Cancer Staging

Deep Interactive Learning: An Efficient Labeling Approach for Deep Learning-Based Osteosarcoma Treatment Response Assessment

Modeling Histological Patterns for Differential Diagnosis of Atypical Breast Lesions

Foveation for Segmentation of Mega-pixel Histology Images

Multimodal Latent Semantic Alignment for Automated Prostate Tissue Classification and Retrieval

Opthalmology

GREEN: a Graph REsidual rE-ranking Network for Grading Diabetic Retinopathy

Combining Fundus Images and Fluorescein Angiography for Artery/Vein Classification Using the Hierarchical Vessel Graph Network

Adaptive Dictionary Learning Based Multimodal Branch Retinal Vein Occlusion Fusion

TR-GAN: Topology Ranking GAN with Triplet Loss for Retinal Artery/Vein Classification

DeepGF: Glaucoma Forecast Using Sequential Fundus Images

Single-Shot Retinal Image Enhancement Using Deep Image Prior

Robust Layer Segmentation against Complex Retinal Abnormalities for en face OCTA Generation

Anterior Segment Eye Lesion Segmentation with Advanced Fusion Strategies and Auxiliary Tasks

Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images

Disentanglement Network for Unpsupervised Speckle Reduction of Optical Coherence Tomography Images

Positive-Aware Lesion Detection Network with Cross-scale Feature Pyramid for OCT Images

Retinal Layer Segmentation Reformulated as OCT Language Processing

Reconstruction and Quantification of 3D Iris Surface for Angle-Closure Glaucoma Detection in Anterior Segment OCT

Open-Appositional-Synechial Anterior Chamber Angle Classification in AS-OCT Sequences

A Macro-Micro Weakly-supervised Framework for AS-OCT Tissue Segmentation

Macular Hole and Cystoid Macular Edema Joint Segmentation by Two-Stage Network and Entropy Minimization

Retinal Nerve Fiber Layer Defect Detection With Position Guidance

An Elastic Interaction Based-Loss Function for Medical Image Segmentation

Retinal Image Segmentation with a Structure-Texture Demixing Network

BEFD: Boundary Enhancement and Feature Denoising for Vessel Segmentation

Boosting Connectivity in Retinal Vessel Segmentation via a Recursive Semantics-Guided Network

RVSeg-Net: an Efficient Feature Pyramid Cascade Network for Retinal Vessel Segmentation-.

Other Format:

Printed edition:

ISBN:

978-3-030-59722-1

9783030597221

Access Restriction:

Restricted for use by site license.