Optimization of deep learning methods for visualization of tumor heterogeneity and brain tumor grading through digital pathology.

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第一作者： An Hoai,Truong

第一单位： Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK.

作者： An Hoai,Truong ^[1] ; Viktoriia,Sharmanska ^[2] ; Clara,Limbӓck-Stanic ^[3] ; Matthew,Grech-Sollars ^[4]

作者单位： Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK. ^[1] Department of Computing, Faculty of Engineering, Imperial College London, London, UK. ^[2] Department of Brain Sciences, Imperial College London, London, UK. ^[3] Department of Histopathology, Imperial College Healthcare NHS Trust, London, UK. ^[4] Department of Imaging, Imperial College Healthcare NHS Trust, London, UK. ^[5]

关键词 brain tumor deep learning digital pathology machine learning tumor heterogeneity

DOI 10.1093/noajnl/vdaa110

PMID 33196039

发布时间 2024-03-30

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Neuro-oncology advances

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Optimization of deep learning methods for visualization of tumor heterogeneity and brain tumor grading through digital pathology.

Neuro-oncology advances

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Optimization of deep learning methods for visualization of tumor heterogeneity and brain tumor grading through digital pathology.

Neuro-oncology advances

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Neuro-oncology advances

相关期刊

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