Longzhong Liu

17 papers Journal 12Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Human visual perception-inspired medical image segmentation network with multi-feature compression.
Artif. Intell. Medicine
Guangju Li, Qinghua Huang, Wei Wang, Longzhong Liu
2025 J jnl
Selective and multi-scale fusion Mamba for medical image segmentation.
Expert Syst. Appl.
Guangju Li, Qinghua Huang, Wei Wang, Longzhong Liu
2025 J jnl
Skin lesion segmentation by fusing local and global features using axial shift and spatial state model.
Appl. Soft Comput.
Guangju Li, Qinghua Huang, Wei Wang, Longzhong Liu
2024 J jnl
Fully automated diagnosis of thyroid nodule ultrasound using brain-inspired inference.
Neurocomputing
Guanghui Li, Qinghua Huang, Chunying Liu, Guanying Wang, Lingli Guo, Ruonan Liu, Longzhong Liu
2023 J jnl
A novel image-to-knowledge inference approach for automatically diagnosing tumors.
Expert Syst. Appl.
Qinghua Huang, Dan Wang, Zhenkun Lu, Shichong Zhou, Jiawei Li, Longzhong Liu, Cai Chang
2023 J jnl
Classification of tumor in one single ultrasound image via a novel multi-view learning strategy.
Pattern Recognit.
Yaozhong Luo, Qinghua Huang, Longzhong Liu
2023 J jnl
Deep fusion of human-machine knowledge with attention mechanism for breast cancer diagnosis.
Biomed. Signal Process. Control.
Yaozhong Luo, Zhenkun Lu, Longzhong Liu, Qinghua Huang
2023 — conf
Fully Automated Interpretable Breast Ultrasound Assisted Diagnosis System.
ICARM
Dan Wang, Yongzhen Wang, Yingchen Wang, Longzhong Liu, Jiawei Li, Qinghua Huang
2023 — conf
Fusion of Human Cognitive Knowledge and Machine Inference for Breast Cancer Detection.
ICARM
Dan Wang, Yingchen Wang, Yongzhen Wang, Longzhong Liu, Jiawei Li, Qinghua Huang
2022 J jnl
Knowledge tensor embedding framework with association enhancement for breast ultrasound diagnosis of limited labeled samples.
Neurocomputing
Jianing Xi, Zhaoji Miao, Longzhong Liu, Xuebing Yang, Wensheng Zhang, Qinghua Huang, Xuelong Li
2020 J jnl
Classification of breast ultrasound with human-rating BI-RADS scores using mined diagnostic patterns and optimized neuro-network.
Neurocomputing
Qinghua Huang, Zhaoji Miao, Jiawei Li, Longzhong Liu, Xuelong Li
2020 J jnl
On Combining Biclustering Mining and AdaBoost for Breast Tumor Classification.
IEEE Trans. Knowl. Data Eng.
Qinghua Huang, Yongdong Chen, Longzhong Liu, Dacheng Tao, Xuelong Li
2018 J jnl
A case-oriented web-based training system for breast cancer diagnosis.
Comput. Methods Programs Biomed.
Qinghua Huang, Xianhai Huang, Longzhong Liu, Yidi Lin, Xingzhang Long, Xuelong Li
2017 — conf
Automatic Classification of Focal Liver Lesion in Ultrasound Images Based on Sparse Representation.
ICIG (2)
Weining Wang, Yizi Jiang, Tingting Shi, Longzhong Liu, Qinghua Huang, Xiangmin Xu
2017 — conf
Web-based training for radiologists of breast ultrasound.
CISP-BMEI
Xianhai Huang, Lijuan Ling, Qinghua Huang, Yidi Lin, Xingzhang Long, Longzhong Liu
2015 J jnl
Automatic segmentation of breast lesions for interaction in ultrasonic computer-aided diagnosis.
Inf. Sci.
Qinghua Huang, Feibin Yang, Longzhong Liu, Xuelong Li
2014 — conf
A Computer-Aided System for Classification of Breast Tumors in Ultrasound Images via Biclustering Learning.
ICMLC (CCIS volume)
Qiangzhi Zhang, Huali Chang, Longzhong Liu, Anhua Li, Qinghua Huang