E-Book, Englisch, Band 11991, 91 Seiten, eBook
Mohy-ud-Din / Rathore Radiomics and Radiogenomics in Neuro-oncology
Erscheinungsjahr 2020
ISBN: 978-3-030-40124-5
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
First International Workshop, RNO-AI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings
E-Book, Englisch, Band 11991, 91 Seiten, eBook
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-030-40124-5
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
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.