Yunliang Qi

发表

Breast density measurement methods on mammograms: a review

Yide Ma, Xiaorong Li, Yunliang Qi, 2022, Multimedia Systems.

Learning multi-frequency features in convolutional network for mammography classification

Yide Ma, Yunliang Qi, Meng Lou, 2022, Medical & Biological Engineering & Computing.

A Comprehensive Overview of Image Enhancement Techniques

Yide Ma, Jing Lian, Zhen Yang, 2021, Archives of Computational Methods in Engineering.

A Hyper-Chaotically Encrypted Robust Digital Image Watermarking Method with Large Capacity Using Compress Sensing on a Hybrid Domain

Fengyuan Ren, Shouliang Li, Yunliang Qi, 2022, Entropy.

A new heterogeneous neural network model and its application in image enhancement

Yide Ma, Wenhao Sun, Jing Lian, 2021, Neurocomputing.

A Comprehensive Overview of Image Enhancement Techniques

Yide Ma, Wenhao Sun, Jing Lian, 2021, Archives of Computational Methods in Engineering.

Adaptive channel and multiscale spatial context network for breast mass segmentation in full-field mammograms

Yide Ma, Yunliang Qi, Xiangyu Deng, 2021, Applied Intelligence.

Unified three-pathway framework for naturalness preservation image enhancement

Yide Ma, K. Zhan, Shouliang Li, 2023, Journal of Electronic Imaging.

Breast density analysis based on glandular tissue segmentation and mixed feature extraction

Yide Ma, Yanan Guo, Zhen Yang, 2019, Multimedia Tools and Applications.

FS-UNet: Mass segmentation in mammograms using an encoder-decoder architecture with feature strengthening

Yide Ma, Meng Lou, Yunliang Qi, 2021, Comput. Biol. Medicine.

ARF-Net: An Adaptive Receptive Field Network for breast mass segmentation in whole mammograms and ultrasound images

Yide Ma, Meng Lou, Yunliang Qi, 2022, Biomed. Signal Process. Control..

Morph_SPCNN model and its application in breast density segmentation

Jizhao Liu, Zhen Yang, Wen Feng, 2020, Multim. Tools Appl..

ATFE-Net: Axial Transformer and Feature Enhancement-based CNN for ultrasound breast mass segmentation

Yide Ma, Wei Zhao, Yunliang Qi, 2023, Comput. Biol. Medicine.

MCRNet: Multi-level context refinement network for semantic segmentation in breast ultrasound imaging

Yide Ma, Xiaorong Li, Yunliang Qi, 2021, Neurocomputing.

A pulse-number-adjustable MSPCNN and its image enhancement application

Yide Ma, Jing Lian, Zhen Yang, 2021, IEEE Access.

A fire-controlled MSPCNN and its applications for image processing

Zhen Yang, Li Zheng, Bin Shi, 2021, Neurocomputing.

A high speed pseudo-random bit generator driven by 2D-discrete hyperchaos

Fengyuan Ren, Yinzhe Liu, Shouliang Li, 2023, Chaos, Solitons & Fractals.

MGBN: Convolutional neural networks for automated benign and malignant breast masses classification

Yide Ma, Runze Wang, Meng Lou, 2021, Multimedia Tools and Applications.

BASCNet: Bilateral adaptive spatial and channel attention network for breast density classification in the mammogram

Yide Ma, Yang Yang, Runze Wang, 2021, Biomed. Signal Process. Control..

ASU-Net: U-shape adaptive scale network for mass segmentation in mammograms

Yide Ma, Yuelan Xin, Jie Zhu, 2021, J. Intell. Fuzzy Syst..

Aggregated pyramid attention network for mass segmentation in mammograms

Yide Ma, Meng Lou, Yunliang Qi, 2021, Multimedia Tools and Applications.

Multi-Scale Attention-Guided Network for mammograms classification

Yide Ma, Meng Lou, Yunliang Qi, 2021, Biomed. Signal Process. Control..

A multi-channel neural network model for multi-focus image fusion

Yunliang Qi, Xiangyu Lu, Zhen Yang, 2024, Expert Systems with Applications.

DCANet: Dual contextual affinity network for mass segmentation in whole mammograms.

Yide Ma, Yunliang Qi, Meng Lou, 2021, Medical physics.

Multi-level nested pyramid network for mass segmentation in mammograms

Yide Ma, Wenhao Sun, Runze Wang, 2019, Neurocomputing.

Deep Pulse-Coupled Neural Networks

Jizhao Liu, Yunliang Qi, Zexiang Yi, 2023, ArXiv.

Multi-level feature fusion network for nuclei segmentation in digital histopathological images

Yide Ma, Xiaorong Li, Yunliang Qi, 2022, The Visual Computer.