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This book constitutes the proceedings of the Second International Workshop on Advances in Simplifying Medical UltraSound, ASMUS 2021, held on September 27, 2021, in conjunction with MICCAI 2021, the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention. The conference was planned to take place in Strasbourg, France, but changed to an online event due to the Coronavirus pandemic. The 22 papers presented in this book were carefully reviewed and selected from 30 submissions. They were organized in topical sections as follows: segmentation and detection; registration, guidance and robotics; classification and image synthesis; and quality assessment and quantitative imaging.
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 531 revised full papers presented were carefully reviewed and selected from 1630 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 m...
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 applica...
The six-volume set LNCS 11764, 11765, 11766, 11767, 11768, and 11769 constitutes the refereed proceedings of the 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019, held in Shenzhen, China, in October 2019. The 539 revised full papers presented were carefully reviewed and selected from 1730 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: optical imaging; endoscopy; microscopy. Part II: image segmentation; image registration; cardiovascular imaging; growth, development, atrophy and progression. Part III: neuroimage reconstruction and synthesis; neuroimage segmentation; diffusion weighted magnetic resonance imaging; functional neuroimaging (fMRI); miscellaneous neuroimaging. Part IV: shape; prediction; detection and localization; machine learning; computer-aided diagnosis; image reconstruction and synthesis. Part V: computer assisted interventions; MIC meets CAI. Part VI: computed tomography; X-ray imaging.
Climate change and urban development threaten health, undermine coping and deepen existing social and environmental inequities. A changing global environment requires transformative social responses: new partnerships, deep engagement with local communities, and innovation to strengthen individual and collective assets. The chapters of this edited volume have mainly been contributed by established and emerging scholars representing social work, sociology, development studies, law, government, social anthropology, urbanism, public policy, and other social sciences This book is to be used for academics, policy makers, social work students, lecturers and other stakeholders to promote advocacy for vulnerable client groups affected by climate change. It gives some measure of hope and makes the invisible visible, allowing for change.
This contemporary book offers valuable insights on digital technology and entrepreneurship education, highlighting the importance of adopting creative digital approaches to learning and teaching. It raises the questions as to whether the current approaches utilised to convey entrepreneurial knowledge are adequate enough when preparing graduates for prospective careers. The book directly addresses the need for effective practices in teaching and reinforces the rising interest and resilience in entrepreneurship. Comprising a number of distinct chapters that illuminate digitally assisted teaching methods that are used in practice to champion student engagement when learning enterprise and entre...
This book constitutes the refereed joint proceedings of the Third International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2017, and the 6th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Québec City, QC, Canada, in September 2017. The 38 full papers presented at DLMIA 2017 and the 5 full papers presented at ML-CDS 2017 were carefully reviewed and selected. The DLMIA papers focus on the design and use of deep learning methods in medical imaging. The ML-CDS papers discuss new techniques of multimodal mining/retrieval and their use in clinical decision support.
Discover the history, causes, impacts, and potential future of global food shortages-a problem for all of humanity, not just the developing world. This important reference work takes an in-depth look at the geographic nature of the problem of global food shortages, helping readers to understand that while this is not a problem that exists everywhere, it is a problem that touches everyone. The book begins with an introduction to the basics of global food shortages, moves through the history of the issue, and then explains the current state of affairs. From there, it examines root causes, proposes solutions, and takes a speculative look into the future. This organization moves readers through ...