Title Medical image computing and computer assisted intervention -- MICCAI 2020 : 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings. Part I / Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz (eds.)

Published Cham : Springer, 2020

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Description 1 online resource (886 pages) Series Lecture notes in computer science ; 12261 LNCS sublibrary, SL 6, Image processing, computer vision, pattern recognition, and graphics Lecture notes in computer science ; 12261. LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics. Contents Intro -- Preface -- Organization -- Contents -- Part I -- Machine Learning Methodologies -- Attention, Suggestion and Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation -- 1 Introduction -- 1.1 Related Works -- 1.2 Our Proposal and Contribution -- 2 Method -- 2.1 Attention Gated Fully Convolutional Network -- 2.2 Distribution Discrepancy Based Active Learning Algorithm -- 3 Experiment -- 4 Conclusion -- References -- Scribble2Label: Scribble-Supervised Cell Segmentation via Self-generating Pseudo-Labels with Consistency -- 1 Introduction -- 2 Method 2.1 Warm-Up Stage -- 2.2 Learning with a Self-generated Pseudo-Label -- 3 Experiments -- 3.1 Datasets -- 3.2 Implementation Details -- 3.3 Results -- 4 Conclusion -- References -- Are Fast Labeling Methods Reliable? A Case Study of Computer-Aided Expert Annotations on Microscopy Slides -- 1 Introduction -- 2 Materials and Methods -- 2.1 Patch Selection -- 2.2 Label Generation -- 2.3 Labelling Platform -- 2.4 Label Experiment Design -- 3 Results -- 4 Discussion and Outlook -- References -- Deep Reinforcement Active Learning for Medical Image Classification -- 1 Introduction -- 1.1 Related Works 2 Methodology -- 2.1 Overview -- 2.2 Classifier Training -- 2.3 Deep Reinforcement Active Learning -- 3 Experiments -- 3.1 Data Sets and Evaluation Metrics -- 3.2 Experimental Settings -- 3.3 Results and Discussion -- 4 Conclusion -- References -- An Effective Data Refinement Approach for Upper Gastrointestinal Anatomy Recognition -- 1 Introduction -- 2 Our Methods -- 2.1 Selecting Noisy Labels Using Bayesian Uncertainty Estimates -- 2.2 Re-labeling Noisy Labels Using Semi-supervised Learning -- 3 Validation Experiments on CIFAR-10 -- 4 Evaluation in Upper Gastrointestinal Anatomy Recognition 4.1 Gastroscopy Dataset and Noisy Annotations -- 4.2 Experiments and Results -- 5 Conclusion -- References -- Synthetic Sample Selection via Reinforcement Learning -- 1 Introduction -- 2 Methodology -- 2.1 Controller -- 2.2 Policy Gradient Method -- 3 Experiments -- 3.1 Implementation Details -- 3.2 Result Analysis -- 4 Conclusions -- References -- Dual-Level Selective Transfer Learning for Intrahepatic Cholangiocarcinoma Segmentation in Non-enhanced Abdominal CT -- 1 Introduction -- 2 Method -- 2.1 Siamese Segmentation Network -- 2.2 Global Information Selection Network 2.3 Local Information Selection Network -- 3 Experiments -- 3.1 Datasets and Experimental Setup -- 3.2 Results -- 3.3 Ablation Study -- 4 Conclusions -- References -- BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture -- 1 Introduction -- 2 Methods -- 2.1 Recurrent Bi-directional Skip Connections -- 2.2 BiO-Net Architecture -- 3 Experiments -- 3.1 Semantic Segmentation -- 3.2 Super Resolution -- 4 Conclusion -- References -- Constrain Latent Space for Schizophrenia Classification via Dual Space Mapping Net -- 1 Introduction -- 2 Method 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; ophthalmology 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 Notes International conference proceedings "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 2.1 Invertible Block Based Dual Space Mapping Includes author index Online resource; title from PDF title page (SpringerLink, viewed December 2, 2020) Subject Diagnostic imaging -- Data processing -- Congresses Artificial intelligence. Society & social sciences. Educational equipment & technology, computer-aided learning (Calif.) Life sciences: general issues. Pattern recognition. Image processing. Computers -- Intelligence (AI) & Semantics. Computers -- Data Processing. Education -- Computers & Technology. Computers -- Computer Science. Computers -- Computer Vision & Pattern Recognition. Computers -- Computer Graphics. Diagnostic imaging -- Data processing Application software Artificial intelligence Bioinformatics Education -- Data processing Optical data processing Pattern perception Genre/Form Electronic books proceedings (reports) Conference papers and proceedings Conference papers and proceedings. Actes de congrès. Form Electronic book Author Martel, Anne. Abolmaesumi, Purang. Stoyanov, Danail. Mateus, Diana Zuluaga, Maria A. Zhou, S. Kevin. Racoceanu, Daniel. Joskowicz, Leo ISBN 9783030597108 3030597105

Other Titles MICCAI 2020

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