Biomedical image segmentation based on full-Resolution network - Citegraph

Paper Info

Title
Biomedical image segmentation based on full-Resolution network

Abstract
•A new CNN structure is designed to extract two complementary features of image.•A new feature is used to remedy the missing image details in semantic feature.•A full-feature extraction module is designed to extract the new feature.•A fusion module is used to aggregate image features selectively and effectively.

Year	DOI	Venue
2022	10.1016/j.patrec.2021.11.017	Pattern Recognition Letters
Keywords	DocType	Volume
Image Segmentation,Biomedical Image,Full-resolution,Convolutional Neural Network	Journal	153
ISSN	Citations	PageRank
0167-8655	0	0.34
References	Authors
0	8

Authors (8 rows)

Cited by (0 rows)

References (0 rows)

Name	Order	Citations	PageRank
Lei Qu	1	0	0.34
Meng Wang	2	3094	167.38
Kaixuan Guo	3	0	0.34
Wan Wan	4	0	0.34
Yu Liu	5	492	30.80
Jun Tang	6	0	0.34
Jun Wu	7	0	0.34
Peng Duan	8	0	0.34

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