Artificial Intelligence and Machine Learning for Digital Pathology - Lecture Notes in Computer Science
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(FIVE YEARS 19)

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(FIVE YEARS 1)

Published By Springer International Publishing

9783030504014, 9783030504021

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Survey of XAI in Digital Pathology

Artificial Intelligence and Machine Learning for Digital Pathology - Lecture Notes in Computer Science ◽

10.1007/978-3-030-50402-1_4 ◽

2020 ◽

pp. 56-88

Author(s):

Milda Pocevičiūtė ◽

Gabriel Eilertsen ◽

Claes Lundström

Keyword(s):

Digital Pathology

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Image Processing and Machine Learning Techniques for Diabetic Retinopathy Detection: A Review

Artificial Intelligence and Machine Learning for Digital Pathology - Lecture Notes in Computer Science ◽

10.1007/978-3-030-50402-1_9 ◽

2020 ◽

pp. 136-154

Author(s):

Sarni Suhaila Rahim ◽

Vasile Palade ◽

Andreas Holzinger

Keyword(s):

Machine Learning ◽

Image Processing ◽

Diabetic Retinopathy ◽

Machine Learning Techniques ◽

Learning Techniques

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Towards a Better Understanding of the Workflows: Modeling Pathology Processes in View of Future AI Integration

Artificial Intelligence and Machine Learning for Digital Pathology - Lecture Notes in Computer Science ◽

10.1007/978-3-030-50402-1_7 ◽

2020 ◽

pp. 102-117

Author(s):

Michaela Kargl ◽

Peter Regitnig ◽

Heimo Müller ◽

Andreas Holzinger

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Supporting the Donation of Health Records to Biobanks for Medical Research

Artificial Intelligence and Machine Learning for Digital Pathology - Lecture Notes in Computer Science ◽

10.1007/978-3-030-50402-1_3 ◽

2020 ◽

pp. 38-55 ◽

Cited By ~ 1

Author(s):

Horst Pichler ◽

Johann Eder

Keyword(s):

Medical Research ◽

Health Records

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Assessment and Comparison of Colour Fidelity of Whole Slide Imaging Scanners

Artificial Intelligence and Machine Learning for Digital Pathology - Lecture Notes in Computer Science ◽

10.1007/978-3-030-50402-1_16 ◽

2020 ◽

pp. 264-278

Author(s):

Norman Zerbe ◽

Alexander Alekseychuk ◽

Peter Hufnagl

Keyword(s):

Whole Slide Imaging

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Extension of the Identity Management System Mainzelliste to Reduce Runtimes for Patient Registration in Large Datasets

Artificial Intelligence and Machine Learning for Digital Pathology - Lecture Notes in Computer Science ◽

10.1007/978-3-030-50402-1_14 ◽

2020 ◽

pp. 228-245

Author(s):

Norman Zerbe ◽

Christopher Hampf ◽

Peter Hufnagl

Keyword(s):

Management System ◽

Identity Management ◽

Large Datasets ◽

Patient Registration ◽

Identity Management System

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Higher Education Teaching Material on Machine Learning in the Domain of Digital Pathology

Artificial Intelligence and Machine Learning for Digital Pathology - Lecture Notes in Computer Science ◽

10.1007/978-3-030-50402-1_10 ◽

2020 ◽

pp. 155-174

Author(s):

Klaus Strohmenger ◽

Christian Herta ◽

Oliver Fischer ◽

Jonas Annuscheit ◽

Peter Hufnagl

Keyword(s):

Higher Education ◽

Machine Learning ◽

Digital Pathology ◽

Teaching Material ◽

Higher Education Teaching

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Sample Quality as Basic Prerequisite for Data Quality: A Quality Management System for Biobanks

Artificial Intelligence and Machine Learning for Digital Pathology - Lecture Notes in Computer Science ◽

10.1007/978-3-030-50402-1_5 ◽

2020 ◽

pp. 89-94

Author(s):

Christiane Hartfeldt ◽

Verena Huth ◽

Sabrina Schmitt ◽

Bettina Meinung ◽

Peter Schirmacher ◽

...

Keyword(s):

Quality Management ◽

Data Quality ◽

Management System ◽

Quality Management System ◽

Sample Quality ◽

Basic Prerequisite

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Digital Image Analysis in Pathology Using DNA Stain: Contributions in Cancer Diagnostics and Development of Prognostic and Theranostic Biomarkers

Artificial Intelligence and Machine Learning for Digital Pathology - Lecture Notes in Computer Science ◽

10.1007/978-3-030-50402-1_15 ◽

2020 ◽

pp. 246-263

Author(s):

Soufiane El Hallani ◽

Calum MacAulay ◽

Martial Guillaud

Keyword(s):

Image Analysis ◽

Digital Image ◽

Digital Image Analysis ◽

Cancer Diagnostics

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Expectations of Artificial Intelligence for Pathology

Artificial Intelligence and Machine Learning for Digital Pathology - Lecture Notes in Computer Science ◽

10.1007/978-3-030-50402-1_1 ◽

2020 ◽

pp. 1-15

Author(s):

Peter Regitnig ◽

Heimo Müller ◽

Andreas Holzinger

Keyword(s):

Artificial Intelligence

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Artificial Intelligence and Machine Learning for Digital Pathology - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Survey of XAI in Digital Pathology

Image Processing and Machine Learning Techniques for Diabetic Retinopathy Detection: A Review

Towards a Better Understanding of the Workflows: Modeling Pathology Processes in View of Future AI Integration

Supporting the Donation of Health Records to Biobanks for Medical Research

Assessment and Comparison of Colour Fidelity of Whole Slide Imaging Scanners

Extension of the Identity Management System Mainzelliste to Reduce Runtimes for Patient Registration in Large Datasets

Higher Education Teaching Material on Machine Learning in the Domain of Digital Pathology

Sample Quality as Basic Prerequisite for Data Quality: A Quality Management System for Biobanks

Digital Image Analysis in Pathology Using DNA Stain: Contributions in Cancer Diagnostics and Development of Prognostic and Theranostic Biomarkers

Expectations of Artificial Intelligence for Pathology

Artificial Intelligence and Machine Learning for Digital Pathology - Lecture Notes in Computer Science
Latest Publications