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Book
Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention : International Workshops, LABELS 2019, HAL-MICCAI 2019, and CuRIOUS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings
Authors: --- --- --- --- --- et al.
ISBN: 3030336425 3030336417 Year: 2019 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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Abstract

This book constitutes the refereed joint proceedings of the 4th International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2019, the First International Workshop on Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention, HAL-MICCAI 2019, and the Second International Workshop on Correction of Brainshift with Intra-Operative Ultrasound, CuRIOUS 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2019, in Shenzhen, China, in October 2019. The 8 papers presented at LABELS 2019, the 5 papers presented at HAL-MICCAI 2019, and the 3 papers presented at CuRIOUS 2019 were carefully reviewed and selected from numerous submissions. The LABELS papers present a variety of approaches for dealing with a limited number of labels, from semi-supervised learning to crowdsourcing. The HAL-MICCAI papers cover a wide set of hardware applications in medical problems, including medical image segmentation, electron tomography, pneumonia detection, etc. The CuRIOUS papers provide a snapshot of the current progress in the field through extended discussions and provide researchers an opportunity to characterize their image registration methods on newly released standardized datasets of iUS-guided brain tumor resection.


Book
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
Authors: --- --- --- --- --- et al.
ISBN: 9783030597108 Year: 2020 Publisher: Cham Springer International Publishing :Imprint: Springer


Book
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
Authors: --- --- --- --- --- et al.
ISBN: 9783030597139 Year: 2020 Publisher: Cham Springer International Publishing :Imprint: Springer


Book
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
Authors: --- --- --- --- --- et al.
ISBN: 9783030597160 Year: 2020 Publisher: Cham Springer International Publishing :Imprint: Springer


Book
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
Authors: --- --- --- --- --- et al.
ISBN: 9783030597191 Year: 2020 Publisher: Cham Springer International Publishing :Imprint: Springer


Book
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
Authors: --- --- --- --- --- et al.
ISBN: 9783030597252 Year: 2020 Publisher: Cham Springer International Publishing :Imprint: Springer


Book
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
Authors: --- --- --- --- --- et al.
ISBN: 9783030597283 Year: 2020 Publisher: Cham Springer International Publishing :Imprint: Springer


Book
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
Authors: --- --- --- --- --- et al.
ISBN: 9783030597221 Year: 2020 Publisher: Cham Springer International Publishing :Imprint: Springer


Multi
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
Authors: --- --- --- --- --- et al.
ISBN: 9783030597108 Year: 2020 Publisher: Cham Springer International Publishing :Imprint: Springer

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Abstract

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.


Multi
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
Authors: --- --- --- --- --- et al.
ISBN: 9783030597139 Year: 2020 Publisher: Cham Springer International Publishing :Imprint: Springer

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Bookmark

Abstract

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.

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