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J-GLOBAL ID：202002265375342712   Reference number：20A0592030

On Validating Multimodal MRI Based Stratification of IDH Genotype in High Grade Gliomas Using CNNs and Its Comparison to Radiomics

CNNSを用いた高悪性度神経膠腫におけるIDH遺伝子型のマルチモーダルMRIベース層別化の検証と放射線学との比較【JST・京大機械翻訳】

Author (5)： Chougule Tanay (Symbiosis Center for Medical Image Analysis, Symbiosis International University, Pune, India) ,  Shinde Sumeet (Symbiosis Center for Medical Image Analysis, Symbiosis International University, Pune, India) ,  Santosh Vani (National Institute of Mental Health and Neurosciences, Bengaluru, India) ,  Saini Jitender (National Institute of Mental Health and Neurosciences, Bengaluru, India) ,  Ingalhalikar Madhura (Symbiosis Center for Medical Image Analysis, Symbiosis International University, Pune, India)
Material： Lecture Notes in Computer Science  (LNBI)
Volume： 11991  Page： 53-60  Publication year： 2020 
JST Material Number： H0078D  ISSN： 0302-9743  Document type： Proceedings
Article type： 原著論文  Country of issue： Germany, Federal Republic of (DEU)  Language： ENGLISH (EN)

Abstract/Point： Abstract: Radiomics based mult...

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Thesaurus term： predictability ,  *Radiology ,  neural network (biomodel) ,  adaptability ,  molecular target therapy ,  *multimode ,  *Genotype ,  *stratification ,  *radioactive ray ,  Learning ,  scanning ,  convolution ,  *glioma ,  black box ,  scanner

Author keywords (5)： Class activation map (CAM) ,  Convolutional neural nets (CNN) ,  Radiomics ,  IDH ,  Gliomas

JST classification (2)： Artificial intelligence  (JE08000Z) ,  Pattern recognition  (JE07000S)

Terms in the title (8)： 悪性度 ,  神経膠腫 ,  IDH遺伝子 ,  マルチモーダル ,  MRI ,  層別化 ,  検証 ,  放射線学