Longzhong Liu

Orcid: 0000-0003-4639-1767

According to our database1, Longzhong Liu authored at least 13 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Classification of tumor in one single ultrasound image via a novel multi-view learning strategy.
Pattern Recognit., November, 2023

A novel image-to-knowledge inference approach for automatically diagnosing tumors.
Expert Syst. Appl., November, 2023

Deep fusion of human-machine knowledge with attention mechanism for breast cancer diagnosis.
Biomed. Signal Process. Control., July, 2023

Fusion of Human Cognitive Knowledge and Machine Inference for Breast Cancer Detection.
Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2023

Fully Automated Interpretable Breast Ultrasound Assisted Diagnosis System.
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.
Neurocomputing, 2022

2020
On Combining Biclustering Mining and AdaBoost for Breast Tumor Classification.
IEEE Trans. Knowl. Data Eng., 2020

Classification of breast ultrasound with human-rating BI-RADS scores using mined diagnostic patterns and optimized neuro-network.
Neurocomputing, 2020

2018
A case-oriented web-based training system for breast cancer diagnosis.
Comput. Methods Programs Biomed., 2018

2017
Automatic Classification of Focal Liver Lesion in Ultrasound Images Based on Sparse Representation.
Proceedings of the Image and Graphics - 9th International Conference, 2017

Web-based training for radiologists of breast ultrasound.
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.
Inf. Sci., 2015

2014
A Computer-Aided System for Classification of Breast Tumors in Ultrasound Images via Biclustering Learning.
Proceedings of the Machine Learning and Cybernetics, 2014


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