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Radiomics and radiogenomics in neuro...

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Radiomics and radiogenomics in neuro-oncologyfirst International Workshop, RNO-AI 2019, held in conjunction with MICCAI 2019, Shenzhen, China, October 13 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Radiomics and radiogenomics in neuro-oncologyedited by Hassan Mohy-ud-Din, Saima Rathore.
Reminder of title:	first International Workshop, RNO-AI 2019, held in conjunction with MICCAI 2019, Shenzhen, China, October 13 : proceedings /
remainder title:	RNO-AI 2019
other author:	Mohy-ud-Din, Hassan.
corporate name:
Published:	Cham :Springer International Publishing :2020.
Description:	ix, 91 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Artificial intelligenceCongresses.Medical applications
Online resource:	https://doi.org/10.1007/978-3-030-40124-5
ISBN:	9783030401245$q(electronic bk.)

Radiomics and radiogenomics in neuro-oncologyfirst International Workshop, RNO-AI 2019, held in conjunction with MICCAI 2019, Shenzhen, China, October 13 : proceedings /
Radiomics and radiogenomics in neuro-oncologyfirst International Workshop, RNO-AI 2019, held in conjunction with MICCAI 2019, Shenzhen, China, October 13 : proceedings /[electronic resource] :RNO-AI 2019edited by Hassan Mohy-ud-Din, Saima Rathore. - Cham :Springer International Publishing :2020. - ix, 91 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,119910302-9743 ;. - Lecture notes in computer science ;4891..

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.

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.

ISBN: 9783030401245$q(electronic bk.)

Standard No.: 10.1007/978-3-030-40124-5doiSubjects--Topical Terms:

442992
Artificial intelligence
--Medical applications--Congresses.

LC Class. No.: R859.7.A78 / R33 2019

Dewey Class. No.: 610.28563

Radiomics and radiogenomics in neuro-oncologyfirst International Workshop, RNO-AI 2019, held in conjunction with MICCAI 2019, Shenzhen, China, October 13 : proceedings /
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