HFCF‐Net: A hybrid‐feature cross fusion network for COVID‐19 lesion segmentation from CT volumetric images
Sign Up to like & getrecommendations! Published in 2022 at "Medical Physics"
DOI: 10.1002/mp.15600
Abstract: Abstract 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… read more here.
Keywords: cross fusion; hfcf net; lesion; segmentation ... See more keywords
DCiPatho: deep cross-fusion networks for genome scale identification of pathogens.
Sign Up to like & getrecommendations! Published in 2023 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbad194
Abstract: Pathogen detection from biological and environmental samples is important for global disease control. Despite advances in pathogen detection using deep learning, current algorithms have limitations in processing long genomic sequences. Through the deep cross-fusion of… read more here.
Keywords: cross fusion; identification pathogens; deep cross; scale identification ... See more keywords
Feature cross-fusion block net for accurate and efficient object detection
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.30.1.013011
Abstract: Abstract. In recent years, a number of detectors have been proposed to improve the accuracy and speed of object detection tasks. However, poor detection performances for small objects and difficulties in optimizing deep networks remain… read more here.
Keywords: fusion block; cross fusion; object detection; detection ... See more keywords