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Titlebook: Medical Image Computing and Computer Assisted Intervention – MICCAI 2020; 23rd International C Anne L. Martel,Purang Abolmaesumi,Leo Joskow

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书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
副标题23rd International C
编辑Anne L. Martel,Purang Abolmaesumi,Leo Joskowicz
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Medical Image Computing and Computer Assisted Intervention – MICCAI 2020; 23rd International C Anne L. Martel,Purang Abolmaesumi,Leo Joskow
描述.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 im
出版日期Conference proceedings 2020
关键词artificial intelligence; color image processing; computer vision; deep learning; digital image; image ana
版次1
doihttps://doi.org/10.1007/978-3-030-59722-1
isbn_softcover978-3-030-59721-4
isbn_ebook978-3-030-59722-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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发表于 2025-3-21 21:42:00 | 显示全部楼层
978-3-030-59721-4Springer Nature Switzerland AG 2020
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Medical Image Computing and Computer Assisted Intervention – MICCAI 2020978-3-030-59722-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
发表于 2025-3-22 05:36:19 | 显示全部楼层
https://doi.org/10.1007/978-3-030-59722-1artificial intelligence; color image processing; computer vision; deep learning; digital image; image ana
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DISCo: Deep Learning, Instance Segmentation, and Correlations for Cell Segmentation in Calcium Imagis well as non-active cells. We first learn to predict whether two pixels belong to the same cell; this information is summarized in an undirected, edge-weighted graph which we then partition. Evaluating our method on the Neurofinder public benchmark shows that DISCo outperforms all existing models trained on these datasets.
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MitoEM Dataset: Large-Scale 3D Mitochondria Instance Segmentation from EM Imagesric for 3D data with a 45. speedup. On MitoEM, we find existing instance segmentation methods often fail to correctly segment mitochondria with complex shapes or close contacts with other instances. Thus, our MitoEM dataset poses new challenges to the field. We release our code and data: ..
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