中国科学院重庆绿色智能技术研究院机构知识库

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	Fully Convolutional Neural Networks for Tissue Histopathology Image Classification and Segmentation
	Peng, Binbin; Chen, Lin; Shang, Mingsheng; Xu, Jianjun
	2018
摘要	Analyzing tissue histopathology image is a new research area of the computer vision. It is getting more and more attention recently. Many pathologists and researchers have gained remarkable achievements in this area. However, most of previous works focused on improving the accuracy rather than the efficiency. In this paper, we propose a novel classification and segmentation framework based on fully convolutional neural networks, which can largely speed up large histopathology image analysis without damaging the accuracy too much. The method is validated through experiments on the Hematoxylin and Eosin (HE) images of stomach tissues collected from real world. The experimental results show that the proposed method achieves comparable accuracy in both classification and segmentation tasks, along with a 16 times faster speed than the tested state-of-the-art methods. © 2018 IEEE.
语种	英语
DOI	10.1109/ICIP.2018.8451517
会议(录)名称	25th IEEE International Conference on Image Processing, ICIP 2018
页码	1403-1407
收录类别	EI
会议地点	Athens, Greece
会议日期	October 7, 2018 - October 10, 2018