Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11991)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): RNO-AI: International Workshop on Radiomics and Radiogenomics in Neuro-oncology
Conference proceedings info: RNO-AI 2019.
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Table of contents (9 papers)
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Front Matter
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Back Matter
About this book
This book constitutes the proceedings of the First International Workshop on Radiomics and Radiogenomics in Neuro-oncology, RNO-AI 2019, which was held in conjunction with MICCAI in Shenzhen, China, in October 2019.
The 10 full papers presented in this volume were carefully reviewed and selected from 15 submissions. They deal with the development of tools that can automate the analysis and synthesis of neuro-oncologic imaging.
Keywords
- artificial intelligence
- bioinformatics
- classification
- classification methods
- computer vision
- correlation analysis
- databases
- education
- image analysis
- image enhancement
- image processing
- image retrieval
- image segmentation
- information retrieval
- learning
- machine learning
- mathematics
- medical images
- neural networks
- pattern recognition
Editors and Affiliations
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LUMS School of Science and Engineering, Lahore, Pakistan
Hassan Mohy-ud-Din
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University of Pennsylvania, Philadelphia, USA
Saima Rathore
Bibliographic Information
Book Title: Radiomics and Radiogenomics in Neuro-oncology
Book Subtitle: First International Workshop, RNO-AI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings
Editors: Hassan Mohy-ud-Din, Saima Rathore
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-40124-5
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-40123-8Published: 25 February 2020
eBook ISBN: 978-3-030-40124-5Published: 24 February 2020
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: IX, 91
Number of Illustrations: 3 b/w illustrations, 19 illustrations in colour
Topics: Image Processing and Computer Vision, Machine Learning, Information Systems and Communication Service, Computer Applications, Pattern Recognition
