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Prostate Segmentation with Encoder-Decoder Densely Connected Convolutional Network (Ed-Densenet)

Year: 2019

Type: conference-paper

Source: IEEE International Symposium on Biomedical Imaging (ISBI)

DOI: 10.1109/isbi.2019.8759498

Authors: Yixuan Yuan, Wenjian Qin, Xiaoqing Guo, Mark Buyyounouski, Steve Hancock, Bin Han, Lei Xing

Institutions: City University of Hong Kong, Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Stanford Medicine, Stanford University

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W2956412927

FWCI: 1.874

Cites: 12

Cited by: 31

Related to: 10