Yunliang Qi
Orcid: 0000-0002-3741-9177Affiliations:
- Lanzhou University, Gansu, China
According to our database1,
Yunliang Qi
authored at least 25 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
Expert Syst. Appl., 2024
2023
Multi-level feature fusion network for nuclei segmentation in digital histopathological images.
Vis. Comput., April, 2023
ATFE-Net: Axial Transformer and Feature Enhancement-based CNN for ultrasound breast mass segmentation.
Comput. Biol. Medicine, February, 2023
2022
Multim. Tools Appl., 2022
Correction to: Learning multi‑frequency features in convolutional network for mammography classification.
Medical Biol. Eng. Comput., 2022
Learning multi-frequency features in convolutional network for mammography classification.
Medical Biol. Eng. Comput., 2022
J. Intell. Fuzzy Syst., 2022
MCRNet: Multi-level context refinement network for semantic segmentation in breast ultrasound imaging.
Neurocomputing, 2022
A Hyper-Chaotically Encrypted Robust Digital Image Watermarking Method with Large Capacity Using Compress Sensing on a Hybrid Domain.
Entropy, 2022
ARF-Net: An Adaptive Receptive Field Network for breast mass segmentation in whole mammograms and ultrasound images.
Biomed. Signal Process. Control., 2022
2021
Multim. Tools Appl., 2021
MGBN: Convolutional neural networks for automated benign and malignant breast masses classification.
Multim. Tools Appl., 2021
Neurocomputing, 2021
Neurocomputing, 2021
FS-UNet: Mass segmentation in mammograms using an encoder-decoder architecture with feature strengthening.
Comput. Biol. Medicine, 2021
BASCNet: Bilateral adaptive spatial and channel attention network for breast density classification in the mammogram.
Biomed. Signal Process. Control., 2021
Biomed. Signal Process. Control., 2021
Adaptive channel and multiscale spatial context network for breast mass segmentation in full-field mammograms.
Appl. Intell., 2021
IEEE Access, 2021
Proceedings of the 17th International Conference on Computational Intelligence and Security CIS 2021, 2021
2019
Breast density analysis based on glandular tissue segmentation and mixed feature extraction.
Multim. Tools Appl., 2019
Neurocomputing, 2019
2018