Constrained Multi-scale Dense Connections for Accurate Biomedical Image Segmentation
Download
Full text for this resource is not available from the Research Repository.
Export
Zhang, Jiawei, Zhang, Yanchun ORCID: 0000-0002-5094-5980, Zhu, Shanfeng and Xu, Xiaowei (2020) Constrained Multi-scale Dense Connections for Accurate Biomedical Image Segmentation. In: 2020 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2020), 16 Dec 2020 - 19 Dec 2020, Seoul, Korea.
Dimensions Badge
Altmetric Badge
Item type | Conference or Workshop Item (Paper) |
URI | https://vuir.vu.edu.au/id/eprint/46469 |
DOI | 10.1109/BIBM49941.2020.9313254 |
Official URL | https://ieeexplore.ieee.org/document/9313254 |
ISBN | 9781728162157 |
Subjects | Current > FOR (2020) Classification > 4603 Computer vision and multimedia computation Current > FOR (2020) Classification > 4605 Data management and data science Current > Division/Research > College of Science and Engineering |
Keywords | deep neural networks; medical imaging; biomedical segmentation |
Download/View statistics | View download statistics for this item |
CORE (COnnecting REpositories)