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J-GLOBAL ID：202402286572276794   Reference number：24A0587354

A continuous learning approach to brain tumor segmentation: integrating multi-scale spatial distillation and pseudo-labeling strategies

脳腫瘍セグメンテーションへの連続学習アプローチ:マルチスケール空間蒸留と擬似標識戦略の統合【JST・京大機械翻訳】

Author (6)： Li Ruipeng (1Department of Urology, Hangzhou Third People’s Hospital, Hangzhou, China) ,  Ye Jianming (2Department of Oncology, First Affiliated Hospital, Gannan Medical University, Ganzhou, China) ,  Huang Yueqi (3Department of Psychiatry, Hangzhou Seventh People’s Hospital, Hangzhou, China) ,  Jin Wei (4School of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, Hangzhou, China) ,  Xu Peng (5Third Affiliated Hospital, Zhejiang Chinese Medical University, Hangzhou, China) ,  Guo Lilin (4School of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, Hangzhou, China)
Material： Frontiers in Oncology (Web)
Volume： 13  Page： 1247603  Publication year： 2023 
JST Material Number： U7089A  ISSN： 2234-943X  Document type： Article
Article type： 原著論文  Country of issue： Switzerland (CHE)  Language： ENGLISH (EN)

Abstract/Point： Introduction: This study prese...

Thesaurus term： efficiency ,...
Semi thesaurus term： *マルチスケール ,...

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Author keywords (5)： brain tumor segmentation ,  continuous learning ,  multi-scale spatial distillation ,  pseudo-labeling ,  feature extraction

JST classification (2)： Medical image processing  (JE04020T) ,  Artificial intelligence  (JE08000Z)

Reference (39)：

• Bryce-Atkinson A, Wilson LJ, Osorio EV, Green A, Whitfield G, McCabe MG, et al. Automatic brain structure segmentation in children with brain tumours. Radiother Oncol (2022) 170:S1417-8. doi: doi: 10.1016/S0167-8140(22)03590-3
• Iqbal S, Ghani MU, Saba T, Rehman A. Brain tumor segmentation in multi-spectral MRI using convolutional neural networks (CNN). Microscopy Res Technique (2018) 81(4):419-27. doi: doi: 10.1002/jemt.22994
• Myronenko A. 3D MRI brain tumor segmentation using autoencoder regularization. Int MICCAI Brainlesion Workshop (2018) 1138427:311-20. doi: doi: 10.1007/978-3-030-11726-9_28
• Anand VK, Grampurohit S, Aurangabadkar P, Kori A, Khened M, Bhat RS, et al. Brain tumor segmentation and survival prediction using automatic hard mining in 3D CNN architecture. Int MICCAI Brainlesion Workshop (2021) 12659:310-9. doi: doi: 10.1007/978-3-030-72087-2_27
• Hu JY, Gu XJ, Gu XS. Mutual ensemble learning for brain tumor segmentation. Neurocomputing (2022) 504:68-81. doi: doi: 10.1016/j.neucom.2022.06.058

Terms in the title (10)： 脳腫瘍 ,  セグメンテーション ,  学習 ,  マルチ ,  スケール空間 ,  蒸留 ,  擬似 ,  標識 ,  戦略 ,  統合