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Digital Pathology [electronic resource] : 15th European Congress, ECDP 2019, Warwick, UK, April 10-13, 2019, Proceedings / edited by Constantino Carlos Reyes-Aldasoro, Andrew Janowczyk, Mitko Veta, Peter Bankhead, Korsuk Sirinukunwattana.

Contributor(s): Reyes-Aldasoro, Constantino Carlos [editor.] | Janowczyk, Andrew [editor.] | Veta, Mitko [editor.] | Bankhead, Peter [editor.] | Sirinukunwattana, Korsuk [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Image Processing, Computer Vision, Pattern Recognition, and Graphics: 11435Publisher: Cham : Springer International Publishing : Imprint: Springer, 2019Edition: 1st ed. 2019.Description: XI, 192 p. 93 illus., 85 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030239374.Subject(s): Computer vision | Artificial intelligence | Computer Vision | Artificial IntelligenceAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.37 Online resources: Click here to access online
Contents:
Image Datasets and Virtual Staining -- Segmentation -- Computer-Assisted Diagnosis and Prognosis.
In: Springer Nature eBookSummary: This book constitutes the refereed proceedings of the 15th 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.
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Image Datasets and Virtual Staining -- Segmentation -- Computer-Assisted Diagnosis and Prognosis.

This book constitutes the refereed proceedings of the 15th 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.

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