Artificial Intelligence and Machine Learning for Digital Pathology

State-of-the-Art and Future Challenges

AvAndreas Holzinger,Randy Goebel

Häftad, Engelska, 2020

Del 12090 i serien Lecture Notes in Computer Science

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Beskrivning

The main challenges are finding biobanks containing ‘‘fit-for-purpose’’ samples, providing quality related meta-data, gaining access to standardized medical data and annotations, and mass scanning of whole slides including efficient data management solutions.

Produktinformation

Utgivningsdatum:2020-06-21
Mått:155 x 235 x 28 mm
Vikt:552 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:341
Förlag:Springer Nature Switzerland AG
ISBN:9783030504014

Utforska kategorier

Patologi inom Medicin
Artificiell intelligens inom Data och IT
Tillämpad datateknik inom Data och IT

Innehållsförteckning

Expectations of Artificial Intelligence for Pathology.- Interpretable Deep Neural Network to Predict Estrogen Receptor Status from Haematoxylin-Eosin Images.- Supporting the Donation of Health Records to Biobanks for Medical Research.- Survey of XAI in Digital Pathology.- Sample Quality as Basic Prerequisite for Data Quality: A Quality Management System for Biobanks.- Black Box Nature of Deep Learning for Digital Pathology: Beyond Quantitative to Qualitative Algorithmic Performances.- Towards a Better Understanding of the Workflows: Modeling Pathology Processes in View of Future AI Integration.- OBDEX – Open Block Data Exchange System.- Image Processing and Machine Learning Techniques for Diabetic Retinopathy Detection: A Review.- Higher Education Teaching Material on Machine Learning in the Domain of Digital Pathology.- Classification vs Deep Learning in Cancer Degree on Limited Histopathology Datasets.- Biobanks and Biobank-Based Artificial Intelligence (AI) Implementation Throughan International Lens.- HistoMapr: An Explainable AI (xAI) Platform for Computational Pathology Solutions.- Extension of the Identity Management System Mainzelliste to Reduce Runtimes for Patient Registration in Large Datasets.- Digital Image Analysis in Pathology Using DNA Stain: Contributions in Cancer Diagnostics and Development of Prognostic and Theranostic Biomarkers.- Assessment and Comparison of Colour Fidelity of Whole slide imaging scanners.- Deep Learning Methods for Mitosis Detection in Breast Cancer Histopathological Images: a Comprehensive Review.- Developments in AI and Machine Learning for Neuroimaging.