Object-based feedback attention in convolutional neural networks improves tumour detection in digital pathology.

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作者： Andrew,Broad ^[1] ; Alexander,Wright ^[2] ; Clare,McGenity ^[2] ; Darren,Treanor ^[3] ; Marc,de Kamps ^[4]

作者单位： School of Computing, University of Leeds, Leeds, UK.;Leeds Institute for Data Analytics, University of Leeds, Leeds, UK.;Leeds Teaching Hospitals NHS Trust, Leeds, UK.;National Pathology Imaging Cooperative, Leeds, UK. ^[1] Leeds Teaching Hospitals NHS Trust, Leeds, UK.;Division of Pathology and Data Analytics, Leeds Institute of Medical Research, University of Leeds, Leeds, UK.;National Pathology Imaging Cooperative, Leeds, UK. ^[2] Leeds Teaching Hospitals NHS Trust, Leeds, UK.;National Pathology Imaging Cooperative, Leeds, UK.;University of Leeds, Leeds, UK.;Department of Clinical Pathology, Linköping University, Linköping, Sweden.;Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden.;Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden. ^[3] School of Computing, University of Leeds, Leeds, UK. m.dekamps@leeds.ac.uk.;Leeds Institute for Data Analytics, University of Leeds, Leeds, UK. m.dekamps@leeds.ac.uk. ^[4]

主题词人类(Humans);图像处理, 计算机辅助(Image Processing, Computer-Assisted);注意力(Attention);结直肠肿瘤(Colorectal Neoplasms);反馈(Feedback)

DOI 10.1038/s41598-024-80717-3

PMID 39638839

发布时间 2024-12-09

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