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Brain Tumor Segmentation Using Deep Capsule Network and Latent-Dynamic Conditional Random Fields.

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第一作者： Mahmoud,Elmezain

第一单位： Computer Science Department, Faculty of Science, Tanta University, Tanta 31527, Egypt.;College of Computer Science and Engineering, Taibah University, Yanbu 966144, Saudi Arabia.

作者： Mahmoud,Elmezain ^[1] ; Amena,Mahmoud ^[2] ; Diana T,Mosa ^[2] ; Wael,Said ^[3]

作者单位： Computer Science Department, Faculty of Science, Tanta University, Tanta 31527, Egypt.;College of Computer Science and Engineering, Taibah University, Yanbu 966144, Saudi Arabia. ^[1] Faculty of Computers and Information, KafrElSheikh University, Kafr El-Sheikh 32626, Egypt. ^[2] College of Computer Science and Engineering, Taibah University, Yanbu 966144, Saudi Arabia.;Computer Science Department, Faculty of Computers and Informatics, Zagazig University, Zagazig 44511, Egypt. ^[3]

关键词 brain tumor deep capsule network latent-dynamic condition random field medical image segmentation

DOI 10.3390/jimaging8070190

PMID 35877634

发布时间 2024-09-01

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Journal of imaging

2022年8卷7期

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Journal of imaging

2022年8卷7期

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Brain Tumor Segmentation Using Deep Capsule Network and Latent-Dynamic Conditional Random Fields.

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Brain Tumor Segmentation Using Deep Capsule Network and Latent-Dynamic Conditional Random Fields.

Journal of imaging

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