TY - JOUR
AU - Wang, Yanting
AU - Yang, Qingyu
AU - Tian, Lixia
AU - Zhou, Xuezhong
AU - Rekik, Islem
AU - Huang, Huifang
PY - 2022
DA - March
TI - HFCF-Net: A hybrid-feature cross fusion network for COVID-19 lesion segmentation from CT volumetric images
JO - Medical Physics
DO - https://doi.org/10.1002/mp.15600
AB - Background: The coronavirus disease 2019 (COVID-19) spreads rapidly across the globe, seriously threatening the health of people all over the world. To reduce the diagnostic pressure of front-line doctors, an accurate and automatic lesion segmentation method is highly desirable in clinic practice.
PB - Wiley
UR - https://discovery.dundee.ac.uk/en/publications/f9a82c5d-bb53-4e56-9ff7-573146149deb
KW - Coronavirus (COVID-19)
ER