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000946558 019__ $$a1203993493$$a1224538068
000946558 020__ $$a9783030597221$$q(electronic book)
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000946558 0247_ $$a10.1007/978-3-030-59722-1$$2doi
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000946558 1112_ $$aInternational Conference on Medical Image Computing and Computer-Assisted Intervention$$n(23rd :$$d2020 :$$cOnline)
000946558 24510 $$aMedical image computing and computer assisted intervention -- MICCAI 2020 :$$b23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings.$$nPart V /$$cAnne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz (eds.).
000946558 2463_ $$aMICCAI 2020
000946558 260__ $$aCham :$$bSpringer,$$c2020.
000946558 300__ $$a1 online resource (842 p.).
000946558 336__ $$atext$$btxt$$2rdacontent
000946558 337__ $$acomputer$$bc$$2rdamedia
000946558 338__ $$aonline resource$$bcr$$2rdacarrier
000946558 347__ $$bPDF$$2rda
000946558 347__ $$atext file$$2rdaft$$0http://rdaregistry.info/termList/fileType/1002
000946558 4901_ $$aLecture notes in computer science ;$$v12265
000946558 4901_ $$aLNCS sublibrary, SL 6, Image processing, computer vision, pattern recognition, and graphics
000946558 500__ $$a"The conference was held through a virtual conference management platform, consisting of the main scientific program in addition to featuring 25 work-shops, 8 tutorials, and 24 challenges during October 4-8, 2020."-- Preface.
000946558 500__ $$aInternational conference proceedings.
000946558 500__ $$aIncludes author index.
000946558 5050_ $$aBiological, 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 -- BCData: 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-.
000946558 506__ $$aAccess limited to authorized users.
000946558 520__ $$aThe 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.
000946558 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed December 2, 2020).
000946558 650_0 $$aDiagnostic imaging$$xData processing$$vCongresses.
000946558 7001_ $$aMartel, Anne.
000946558 7001_ $$aAbolmaesumi, Purang.
000946558 7001_ $$aStoyanov, Danail.
000946558 7001_ $$aMateus, Diana.
000946558 7001_ $$aZuluaga, Maria A.
000946558 7001_ $$aZhou, S. Kevin.
000946558 7001_ $$aRacoceanu, Daniel.
000946558 7001_ $$aJoskowicz, Leo.
000946558 77608 $$iPrint version:$$aMartel, Anne L.$$tMedical Image Computing and Computer Assisted Intervention - MICCAI 2020 : 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part V$$dCham : Springer International Publishing AG,c2020$$z9783030597214
000946558 830_0 $$aLecture notes in computer science ;$$v12265.
000946558 830_0 $$aLNCS sublibrary.$$nSL 6,$$pImage processing, computer vision, pattern recognition, and graphics.
000946558 852__ $$bebk
000946558 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-59722-1$$zOnline Access$$91397441.1
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