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Titlebook: Digital Pathology; 15th European Congre Constantino Carlos Reyes-Aldasoro,Andrew Janowczyk Conference proceedings 2019 Springer Nature Swit

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书目名称Digital Pathology
副标题15th European Congre
编辑Constantino Carlos Reyes-Aldasoro,Andrew Janowczyk
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Digital Pathology; 15th European Congre Constantino Carlos Reyes-Aldasoro,Andrew Janowczyk Conference proceedings 2019 Springer Nature Swit
描述.This book constitutes the refereed proceedings of the 15.th. European Congress on Digital Pathology,  ECDP 2019, held in Warwick, UK in April 2019. The 21 full papers presented in this volume were carefully reviewed and selected from 30 submissions. The congress theme will be Accelerating Clinical Deployment, with a focus on computational pathology and leveraging the power of big data and artificial intelligence to bridge the gaps between research, development, and clinical uptake. .
出版日期Conference proceedings 2019
关键词Digital pathology; histology; machine learning; Artificial Intelligence; segmentation; image analysis; act
版次1
doihttps://doi.org/10.1007/978-3-030-23937-4
isbn_softcover978-3-030-23936-7
isbn_ebook978-3-030-23937-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/d/image/279586.jpg
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Nancy Cushing,Michael Kilmister,Nathan Scottnstruct a large pan-cancer dataset for nuclei instance segmentation and classification, with minimal sampling bias. The dataset consists of 455 visual fields, of which 312 are randomly sampled from more than 20K whole slide images at different magnifications, from multiple data sources. In total the
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“Ruins True Refuge”: Beckett and Pintercomputational resources has been achieved, there are still problems in WSI that need to be solved. A major challenge is the scan size. The dimensions of digitized tissue samples may exceed 100,000 by 100,000 pixels causing memory and efficiency obstacles for real-time processing. The main contributi
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“Ruins True Refuge”: Beckett and Pintercial tasks in image analysis. We propose a methodology to improve segmentability of histological images by making use of image-to-image translation. We generate virtual stains and exploit the additional information during segmentation. Specifically a very basic pixel-based segmentation approach is a
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