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Titlebook: Simulation and Synthesis in Medical Imaging; 8th International Wo Jelmer M. Wolterink,David Svoboda,Virginia Fernand Conference proceedings

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書目名稱Simulation and Synthesis in Medical Imaging
副標題8th International Wo
編輯Jelmer M. Wolterink,David Svoboda,Virginia Fernand
視頻videohttp://file.papertrans.cn/868/867586/867586.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Simulation and Synthesis in Medical Imaging; 8th International Wo Jelmer M. Wolterink,David Svoboda,Virginia Fernand Conference proceedings
描述.This book constitutes the refereed proceedings of the 8th International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2023, held in conjunction with MICCAI 2023, in Vancouver, Canada, in October 2023..The 13 full papers included in this book were carefully reviewed and selected from 16 submissions. They span a wide range of topics relevant to SASHIMI, and reflect recent developments in methods for segmentation, image-to-image?translation, super-resolution, and image synthesis. Applications include MRI?imaging, echocardiography, PET, and digital pathology..
出版日期Conference proceedings 2023
關(guān)鍵詞artificial intelligence; bioinformatics; color image processing; color images; computer systems; computer
版次1
doihttps://doi.org/10.1007/978-3-031-44689-4
isbn_softcover978-3-031-44688-7
isbn_ebook978-3-031-44689-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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,Super-Resolution Segmentation Network for?Inner-Ear Tissue Segmentation,owed that the proposed super-resolution segmentation architecture achieved very good performance on the inner-ear tissue segmentation. Our best-performing model (0.871) outperformed the UNet (0.746), VNet (0.853), nnUNet (0.861), TransUNet (0.848), and SRGAN (0.780) in terms of mean dice score.
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0302-9743 -to-image?translation, super-resolution, and image synthesis. Applications include MRI?imaging, echocardiography, PET, and digital pathology..978-3-031-44688-7978-3-031-44689-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Physics-Aware Motion Simulation For T2*-Weighted Brain MRI,k accurately detects motion-affected k-space lines for simulated displacements down to .0.5?mm (accuracy on test set: .). Finally, our results demonstrate exciting opportunities of simulation-based k-space line detection combined with more powerful reconstruction methods. Our code is publicly available at: ..
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,Transformers for?CT Reconstruction from?Monoplanar and?Biplanar Radiographs,rough the body from different directions and combining this information into a three-dimensional volume. Such volumes can then be used to diagnose a wide range of conditions and allow for volumetric measurements of organs. In this work, we tackle the problem of reconstructing CT images from biplanar
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