Meng Lou

According to our database, Meng Lou authored at least 21 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SparX: A Sparse Cross-Layer Connection Mechanism for Hierarchical Vision Mamba and Transformer Networks.

Meng Lou, Yunxiang Fu, Yizhou Yu

CoRR, 2024

SDR-Former: A Siamese Dual-Resolution Transformer for Liver Lesion Classification Using 3D Multi-Phase Imaging.

Meng Lou, Hanning Ying, Xiaoqing Liu, Hong-Yu Zhou, Yuqing Zhang, Yizhou Yu

CoRR, 2024

2023

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

Xiaorong Li, Jiande Pi, Meng Lou, Yunliang Qi, Sizheng Li, Jie Meng, Yide Ma

Vis. Comput., April, 2023

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

Zhou Ma, Yunliang Qi, Chunbo Xu, Wei Zhao, Meng Lou, Yiming Wang, Yide Ma

Comput. Biol. Medicine, February, 2023

Unified three-pathway framework for naturalness preservation image enhancement.

Yunliang Qi, Kun Zhan, Meng Lou, Shouliang Li, Zhen Yang, Yide Ma

J. Electronic Imaging, 2023

TransXNet: Learning Both Global and Local Dynamics with a Dual Dynamic Token Mixer for Visual Recognition.

Meng Lou, Hongyu Zhou, Sibei Yang, Yizhou Yu

CoRR, 2023

2022

Aggregated pyramid attention network for mass segmentation in mammograms.

Meng Lou, Yunliang Qi, Xiaorong Li, Chunbo Xu, Wenwei Zhao, Xiangyu Deng, Yide Ma

Multim. Tools Appl., 2022

Breast density measurement methods on mammograms: a review.

Xiaorong Li, Yunliang Qi, Meng Lou, Wenwei Zhao, Jie Meng, Wenjun Zhang, Yide Ma

Multim. Syst., 2022

Correction to: Learning multi‑frequency features in convolutional network for mammography classification.

Yiming Wang, Yunliang Qi, Chunbo Xu, Meng Lou, Yide Ma

Medical Biol. Eng. Comput., 2022

Learning multi-frequency features in convolutional network for mammography classification.

Yiming Wang, Yunliang Qi, Chunbo Xu, Meng Lou, Yide Ma

Medical Biol. Eng. Comput., 2022

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

Kexin Sun, Yuelan Xin, Yide Ma, Meng Lou, Yunliang Qi, Jie Zhu

J. Intell. Fuzzy Syst., 2022

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

Meng Lou, Jie Meng, Yunliang Qi, Xiaorong Li, Yide Ma

Neurocomputing, 2022

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

Chunbo Xu, Yunliang Qi, Yiming Wang, Meng Lou, Jiande Pi, Yide Ma

Biomed. Signal Process. Control., 2022

2021

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

Meng Lou, Runze Wang, Yunliang Qi, Wenwei Zhao, Chunbo Xu, Jie Meng, Xiangyu Deng, Yide Ma

Multim. Tools Appl., 2021

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

Jiande Pi, Yunliang Qi, Meng Lou, Xiaorong Li, Yiming Wang, Chunbo Xu, Yide Ma

Comput. Biol. Medicine, 2021

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

Wenwei Zhao, Runze Wang, Yunliang Qi, Meng Lou, Yiming Wang, Yang Yang, Xiangyu Deng, Yide Ma

Biomed. Signal Process. Control., 2021

Multi-Scale Attention-Guided Network for mammograms classification.

Chunbo Xu, Meng Lou, Yunliang Qi, Yiming Wang, Jiande Pi, Yide Ma

Biomed. Signal Process. Control., 2021

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

Wenwei Zhao, Meng Lou, Yunliang Qi, Yiming Wang, Chunbo Xu, Xiangyu Deng, Yide Ma

Appl. Intell., 2021

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

Kexin Sun, Yuelan Xin, Yunliang Qi, Meng Lou, Kai Ye, Yinru Ye

Proceedings of the 17th International Conference on Computational Intelligence and Security CIS 2021, 2021

2004

HOS-Miner: A System for Detecting Outlying Subspaces of High-dimensional Data.

Ji Zhang, Meng Lou, Tok Wang Ling, Hai H. Wang

Proceedings of the (e)Proceedings of the Thirtieth International Conference on Very Large Data Bases, VLDB 2004, Toronto, Canada, August 31, 2004

2002

Relating Multi-step and Single-Step Microprocessor Correctness Statements.

Mark D. Aagaard, Nancy A. Day, Meng Lou

Proceedings of the Formal Methods in Computer-Aided Design, 4th International Conference, 2002