Yunliang Qi

Orcid: 0000-0002-3741-9177

Affiliations:
  • Lanzhou University, Gansu, China


According to our database1, Yunliang Qi authored at least 25 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A multi-channel neural network model for multi-focus image fusion.
Expert Syst. Appl., 2024

Deep Pulse-Coupled Neural Networks.
CoRR, 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
Aggregated pyramid attention network for mass segmentation in mammograms.
Multim. Tools Appl., 2022

Breast density measurement methods on mammograms: a review.
Multim. Syst., 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

ASU-Net: U-shape adaptive scale network for mass segmentation in mammograms.
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
Morph_SPCNN model and its application in breast density segmentation.
Multim. Tools Appl., 2021

MGBN: Convolutional neural networks for automated benign and malignant breast masses classification.
Multim. Tools Appl., 2021

A new heterogeneous neural network model and its application in image enhancement.
Neurocomputing, 2021

A fire-controlled MSPCNN and its applications for image processing.
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

Multi-Scale Attention-Guided Network for mammograms classification.
Biomed. Signal Process. Control., 2021

Adaptive channel and multiscale spatial context network for breast mass segmentation in full-field mammograms.
Appl. Intell., 2021

A Pulse-Number-Adjustable MSPCNN and Its Image Enhancement Application.
IEEE Access, 2021

CAGU-Net: Category Attention Guidance U-Net for Retinal Blood Vessel Segmentation.
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

Multi-level nested pyramid network for mass segmentation in mammograms.
Neurocomputing, 2019

2018
Heterogeneous SPCNN and its application in image segmentation.
Neurocomputing, 2018


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