A Novel Lesion Segmentation Algorithm based on U-Net Network for Tuberculosis CT Image

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Citations (SciVal)

Original language	English
Title of host publication	2021 International Conference on Control, Automation and Information Sciences (ICCAIS)
Pages	909-914
Number of pages	6
DOIs	https://doi.org/10.1109/ICCAIS52680.2021.9624633
Publication status	Published (VoR) - 2021

Access to Document

@inproceedings{3bc56db7500b4a5fa2546c13b73ff0f0,

title = "A Novel Lesion Segmentation Algorithm based on U-Net Network for Tuberculosis CT Image",

author = "Shaoyue Wen and Jing Liu and Wenge Xu",

year = "2021",

doi = "10.1109/ICCAIS52680.2021.9624633",

language = "English",

pages = "909--914",

booktitle = "2021 International Conference on Control, Automation and Information Sciences (ICCAIS)",

}

TY - GEN

T1 - A Novel Lesion Segmentation Algorithm based on U-Net Network for Tuberculosis CT Image

AU - Wen, Shaoyue

AU - Liu, Jing

AU - Xu, Wenge

PY - 2021

Y1 - 2021

U2 - 10.1109/ICCAIS52680.2021.9624633

DO - 10.1109/ICCAIS52680.2021.9624633

M3 - Conference contribution

SP - 909

EP - 914

BT - 2021 International Conference on Control, Automation and Information Sciences (ICCAIS)

ER -