Longzhong Liu

According to our database, Longzhong Liu authored at least 15 papers between 2014 and 2025.

Collaborative distances:

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

2025

Selective and multi-scale fusion Mamba for medical image segmentation.

Guangju Li, Qinghua Huang, Wei Wang, Longzhong Liu

Expert Syst. Appl., 2025

2024

Fully automated diagnosis of thyroid nodule ultrasound using brain-inspired inference.

Guanghui Li, Qinghua Huang, Chunying Liu, Guanying Wang, Lingli Guo, Ruonan Liu, Longzhong Liu

Neurocomputing, 2024

2023

Classification of tumor in one single ultrasound image via a novel multi-view learning strategy.

Yaozhong Luo, Qinghua Huang, Longzhong Liu

Pattern Recognit., November, 2023

A novel image-to-knowledge inference approach for automatically diagnosing tumors.

Qinghua Huang, Dan Wang, Zhenkun Lu, Shichong Zhou, Jiawei Li, Longzhong Liu, Cai Chang

Expert Syst. Appl., November, 2023

Deep fusion of human-machine knowledge with attention mechanism for breast cancer diagnosis.

Yaozhong Luo, Zhenkun Lu, Longzhong Liu, Qinghua Huang

Biomed. Signal Process. Control., July, 2023

Fusion of Human Cognitive Knowledge and Machine Inference for Breast Cancer Detection.

Dan Wang, Yingchen Wang, Yongzhen Wang, Longzhong Liu, Jiawei Li, Qinghua Huang

Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2023

Fully Automated Interpretable Breast Ultrasound Assisted Diagnosis System.

Dan Wang, Yongzhen Wang, Yingchen Wang, Longzhong Liu, Jiawei Li, Qinghua Huang

Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2023

2022

Knowledge tensor embedding framework with association enhancement for breast ultrasound diagnosis of limited labeled samples.

Jianing Xi, Zhaoji Miao, Longzhong Liu, Xuebing Yang, Wensheng Zhang, Qinghua Huang, Xuelong Li

Neurocomputing, 2022

2020

On Combining Biclustering Mining and AdaBoost for Breast Tumor Classification.

Qinghua Huang, Yongdong Chen, Longzhong Liu, Dacheng Tao, Xuelong Li

IEEE Trans. Knowl. Data Eng., 2020

Classification of breast ultrasound with human-rating BI-RADS scores using mined diagnostic patterns and optimized neuro-network.

Qinghua Huang, Zhaoji Miao, Jiawei Li, Longzhong Liu, Xuelong Li

Neurocomputing, 2020

2018

A case-oriented web-based training system for breast cancer diagnosis.

Qinghua Huang, Xianhai Huang, Longzhong Liu, Yidi Lin, Xingzhang Long, Xuelong Li

Comput. Methods Programs Biomed., 2018

2017

Automatic Classification of Focal Liver Lesion in Ultrasound Images Based on Sparse Representation.

Weining Wang, Yizi Jiang, Tingting Shi, Longzhong Liu, Qinghua Huang, Xiangmin Xu

Proceedings of the Image and Graphics - 9th International Conference, 2017

Web-based training for radiologists of breast ultrasound.

Xianhai Huang, Lijuan Ling, Qinghua Huang, Yidi Lin, Xingzhang Long, Longzhong Liu

Proceedings of the 10th International Congress on Image and Signal Processing, 2017

2015

Automatic segmentation of breast lesions for interaction in ultrasonic computer-aided diagnosis.

Qinghua Huang, Feibin Yang, Longzhong Liu, Xuelong Li

Inf. Sci., 2015

2014

A Computer-Aided System for Classification of Breast Tumors in Ultrasound Images via Biclustering Learning.

Qiangzhi Zhang, Huali Chang, Longzhong Liu, Anhua Li, Qinghua Huang

Proceedings of the Machine Learning and Cybernetics, 2014