Radiomics and Radiogenomics in Neuro-oncology -

Radiomics and Radiogenomics in Neuro-oncology

First International Workshop, RNO-AI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings
Buch | Softcover
IX, 91 Seiten
2020 | 1st ed. 2020
Springer International Publishing (Verlag)
978-3-030-40123-8 (ISBN)
53,49 inkl. MwSt
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.

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. 

Current Status of the Use of Machine Learning and Magnetic Resonance Imaging in the Field of Neuro- Radiomics.- Opportunities and Advances in Radiomics and Radiogenomics in Neuro-Oncology.- A Survey on Recent Advancements for AI Enabled Radiomics in Neuro-Oncology.- Multimodal MRI for Radiogenomic Analysis of PTEN Mutation in Glioblastoma.- Deep radiomic features from MRI scans predict survival outcome of recurrent glio-blastoma.- cuRadiomics: A GPU-based Radiomics Feature Extraction Toolkit.- On validating multimodal MRI based stratification of IDH genotype in high grade gliomas using CNNs and its comparison to radiomics.- Imaging signature of 1p/19q co-deletion status derived via machine learning in lower grade glioma.- A feature-pooling and signature-pooling method for feature selection for quantitative image analysis: application to a radiomics model for survival in glioma.- Radiomics-Enhanced Multi-Task Neural Network for Non-invasive Glioma Subtyp-ing and Segmentation.

 

Erscheinungsdatum
Reihe/Serie Image Processing, Computer Vision, Pattern Recognition, and Graphics
Lecture Notes in Computer Science
Zusatzinfo IX, 91 p. 22 illus., 19 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 174 g
Themenwelt Informatik Grafik / Design Digitale Bildverarbeitung
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte Applications • Artificial Intelligence • Bioinformatics • classification • Classification methods • Computer Science • computer vision • conference proceedings • Correlation Analysis • Databases • Education • Image Analysis • image enhancement • Image Processing • Image Retrieval • Image Segmentation • Informatics • Information Retrieval • learning • machine learning • Mathematics • Medical Images • Neural networks • pattern recognition • Research
ISBN-10 3-030-40123-5 / 3030401235
ISBN-13 978-3-030-40123-8 / 9783030401238
Zustand Neuware
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