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Longzhong Liu
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2020 – today
- 2025
- [j10]Guangju Li, Qinghua Huang, Wei Wang, Longzhong Liu:
Selective and multi-scale fusion Mamba for medical image segmentation. Expert Syst. Appl. 261: 125518 (2025) - 2024
- [j9]Guanghui Li, Qinghua Huang, Chunying Liu, Guanying Wang, Lingli Guo, Ruonan Liu, Longzhong Liu:
Fully automated diagnosis of thyroid nodule ultrasound using brain-inspired inference. Neurocomputing 582: 127497 (2024) - 2023
- [j8]Yaozhong Luo, Zhenkun Lu, Longzhong Liu, Qinghua Huang:
Deep fusion of human-machine knowledge with attention mechanism for breast cancer diagnosis. Biomed. Signal Process. Control. 84: 104784 (2023) - [j7]Qinghua Huang, Dan Wang, Zhenkun Lu, Shichong Zhou, Jiawei Li, Longzhong Liu, Cai Chang:
A novel image-to-knowledge inference approach for automatically diagnosing tumors. Expert Syst. Appl. 229(Part A): 120450 (2023) - [j6]Yaozhong Luo, Qinghua Huang, Longzhong Liu:
Classification of tumor in one single ultrasound image via a novel multi-view learning strategy. Pattern Recognit. 143: 109776 (2023) - [c5]Dan Wang, Yongzhen Wang, Yingchen Wang, Longzhong Liu, Jiawei Li, Qinghua Huang:
Fully Automated Interpretable Breast Ultrasound Assisted Diagnosis System. ICARM 2023: 173-178 - [c4]Dan Wang, Yingchen Wang, Yongzhen Wang, Longzhong Liu, Jiawei Li, Qinghua Huang:
Fusion of Human Cognitive Knowledge and Machine Inference for Breast Cancer Detection. ICARM 2023: 179-184 - 2022
- [j5]Jianing Xi, Zhaoji Miao, Longzhong Liu, Xuebing Yang, Wensheng Zhang, Qinghua Huang, Xuelong Li:
Knowledge tensor embedding framework with association enhancement for breast ultrasound diagnosis of limited labeled samples. Neurocomputing 468: 60-70 (2022) - 2020
- [j4]Qinghua Huang, Zhaoji Miao, Jiawei Li, Longzhong Liu, Xuelong Li:
Classification of breast ultrasound with human-rating BI-RADS scores using mined diagnostic patterns and optimized neuro-network. Neurocomputing 417: 536-542 (2020) - [j3]Qinghua Huang, Yongdong Chen, Longzhong Liu, Dacheng Tao, Xuelong Li:
On Combining Biclustering Mining and AdaBoost for Breast Tumor Classification. IEEE Trans. Knowl. Data Eng. 32(4): 728-738 (2020)
2010 – 2019
- 2018
- [j2]Qinghua Huang, Xianhai Huang, Longzhong Liu, Yidi Lin, Xingzhang Long, Xuelong Li:
A case-oriented web-based training system for breast cancer diagnosis. Comput. Methods Programs Biomed. 156: 73-83 (2018) - 2017
- [c3]Xianhai Huang, Lijuan Ling, Qinghua Huang, Yidi Lin, Xingzhang Long, Longzhong Liu:
Web-based training for radiologists of breast ultrasound. CISP-BMEI 2017: 1-6 - [c2]Weining Wang, Yizi Jiang, Tingting Shi, Longzhong Liu, Qinghua Huang, Xiangmin Xu:
Automatic Classification of Focal Liver Lesion in Ultrasound Images Based on Sparse Representation. ICIG (2) 2017: 513-527 - 2015
- [j1]Qinghua Huang, Feibin Yang, Longzhong Liu, Xuelong Li:
Automatic segmentation of breast lesions for interaction in ultrasonic computer-aided diagnosis. Inf. Sci. 314: 293-310 (2015) - 2014
- [c1]Qiangzhi Zhang, Huali Chang, Longzhong Liu, Anhua Li, Qinghua Huang:
A Computer-Aided System for Classification of Breast Tumors in Ultrasound Images via Biclustering Learning. ICMLC (CCIS volume) 2014: 24-32
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