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J-GLOBAL ID:202202255952580174   Reference number:22A2068185

Recent Advances of Deep Learning for Computational Histopathology: Principles and Applications

計算組織病理学のための深層学習の最近の進歩:原理と応用【JST・京大機械翻訳】
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Volume: 14  Issue:Page: 1199  Publication year: 2022 
JST Material Number: U7153A  ISSN: 2072-6694  Document type: Article
Article type: 文献レビュー  Country of issue: Switzerland (CHE)  Language: ENGLISH (EN)
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With the remarkable success of...
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Reference (131):
  • Sung, H.; Ferlay, J.; Siegel, R.L.; Laversanne, M.; Soerjomataram, I.; Jemal, A.; Bray, F. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA A Cancer J. Clin. 2021, 71, 209-249.
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  • Shao, W.; Han, Z.; Cheng, J.; Cheng, L.; Wang, T.; Sun, L.; Lu, Z.; Zhang, J.; Zhang, D.; Huang, K. Integrative Analysis of Pathological Images and Multi-Dimensional Genomic Data for Early-Stage Cancer Prognosis. IEEE Trans. Med. Imaging 2020, 39, 99-110.
  • Xu, J.; Xiang, L.; Liu, Q.; Gilmore, H.; Wu, J.; Tang, J.; Madabhushi, A. Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images. IEEE Trans. Med. Imaging 2016, 35, 119-130.
  • Stacke, K.; Eilertsen, G.; Unger, J.; Lundström, C. Measuring domain shift for deep learning in histopathology. IEEE J. Biomed. Health Inform. 2020, 25, 325-336.
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