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Artificial Intelligence and Machine Learning for Digital Pathology

Overview of attention for book
Cover of 'Artificial Intelligence and Machine Learning for Digital Pathology'

Table of Contents

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    Book Overview
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    Chapter 1 Expectations of Artificial Intelligence for Pathology
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    Chapter 2 Interpretable Deep Neural Network to Predict Estrogen Receptor Status from Haematoxylin-Eosin Images
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    Chapter 3 Supporting the Donation of Health Records to Biobanks for Medical Research
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    Chapter 4 Survey of XAI in Digital Pathology
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    Chapter 5 Sample Quality as Basic Prerequisite for Data Quality: A Quality Management System for Biobanks
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    Chapter 6 Black Box Nature of Deep Learning for Digital Pathology: Beyond Quantitative to Qualitative Algorithmic Performances
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    Chapter 7 Towards a Better Understanding of the Workflows: Modeling Pathology Processes in View of Future AI Integration
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    Chapter 8 OBDEX – Open Block Data Exchange System
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    Chapter 9 Image Processing and Machine Learning Techniques for Diabetic Retinopathy Detection: A Review
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    Chapter 10 Higher Education Teaching Material on Machine Learning in the Domain of Digital Pathology
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    Chapter 11 Classification vs Deep Learning in Cancer Degree on Limited Histopathology Datasets
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    Chapter 12 Biobanks and Biobank-Based Artificial Intelligence (AI) Implementation Through an International Lens
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    Chapter 13 HistoMapr ™ : An Explainable AI (xAI) Platform for Computational Pathology Solutions
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    Chapter 14 Extension of the Identity Management System Mainzelliste to Reduce Runtimes for Patient Registration in Large Datasets
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    Chapter 15 Digital Image Analysis in Pathology Using DNA Stain: Contributions in Cancer Diagnostics and Development of Prognostic and Theranostic Biomarkers
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    Chapter 16 Assessment and Comparison of Colour Fidelity of Whole Slide Imaging Scanners
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    Chapter 17 Deep Learning Methods for Mitosis Detection in Breast Cancer Histopathological Images: A Comprehensive Review
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    Chapter 18 Developments in AI and Machine Learning for Neuroimaging
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    Chapter 19 Fuzzy Image Processing and Deep Learning for Microaneurysms Detection
Attention for Chapter 8: OBDEX – Open Block Data Exchange System
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Citations

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Chapter title
OBDEX – Open Block Data Exchange System
Chapter number 8
Book title
Artificial Intelligence and Machine Learning for Digital Pathology
Published by
Springer, Cham, January 2020
DOI 10.1007/978-3-030-50402-1_8
Book ISBNs
978-3-03-050401-4, 978-3-03-050402-1
Authors

Björn Lindequist, Norman Zerbe, Peter Hufnagl

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 33%
Unknown 2 67%
Readers by discipline Count As %
Economics, Econometrics and Finance 1 33%
Unknown 2 67%

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