Hongbo Du
Orcid: 0000-0002-2498-2040
According to our database1,
Hongbo Du
authored at least 24 papers
between 1988 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Correction to: Classification of breast lesions in ultrasound images using deep convolutional neural networks: transfer learning versus automatic architecture design.
Medical Biol. Eng. Comput., January, 2024
Classification of breast lesions in ultrasound images using deep convolutional neural networks: transfer learning versus automatic architecture design.
Medical Biol. Eng. Comput., January, 2024
2023
A Theoretical and Experimental Investigation on the Fracture Mechanism of Center-Symmetric Closed Crack in Compacted Clay under Compression-Shear Loading.
Symmetry, August, 2023
Effects of Support Friction on Mixed-Mode I/II Fracture Behavior of Compacted Clay Using Notched Deep Beam Specimens under Symmetric Fixed Support.
Symmetry, 2023
2022
Life cycle environmental impact of a high-speed rail system in the Houston-Dallas I-45 corridor.
Public Transp., 2022
Proceedings of the 9th International Conference on Dependable Systems and Their Applications, 2022
Research on Key Technologies of Human Upper Limb Bone Diagnosis based on Convolutional Neural Network.
Proceedings of the 9th International Conference on Dependable Systems and Their Applications, 2022
2021
Faster RCNN Hyperparameter Selection for Breast Lesion Detection in 2D Ultrasound Images.
Proceedings of the Advances in Computational Intelligence Systems, 2021
Towards Linking CNN Decisions with Cancer Signs for Breast Lesion Classification from Ultrasound Images.
Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021
Improving Generalization of ENAS-Based CNN Models for Breast Lesion Classification from Ultrasound Images.
Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021
2020
An ENAS Based Approach for Constructing Deep Learning Models for Breast Cancer Recognition from Ultrasound Images.
CoRR, 2020
2018
Controlling Sensitivity of Gaussian Bayes Predictions based on Eigenvalue Thresholding.
EAI Endorsed Trans. Ind. Networks Intell. Syst., 2018
Proceedings of the Euro-Par 2018: Parallel Processing Workshops, 2018
SLDPC: Towards Second Order Learning for Detecting Persistent Clusters in Data Streams.
Proceedings of the 2018 10th Computer Science and Electronic Engineering Conference, 2018
2017
Comput. Methods Programs Biomed., 2017
Multi-level Trainable Segmentation for Measuring Gestational and Yolk Sacs from Ultrasound Images.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017
EINCKM: An Enhanced Prototype-based Method for Clustering Evolving Data Streams in Big Data.
Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017
Proceedings of the 46th International Conference on Parallel Processing Workshops, 2017
2016
J. Comput. Chem., 2016
2014
Automatic Ribs Segmentation and Counting From Mouse X-ray Images.
Proceedings of the Medical Image Understanding and Analysis, 2014
Automatic Identification of Early Miscarriage Based on Multiple Features Extracted From Ultrasound Images.
Proceedings of the Medical Image Understanding and Analysis, 2014
2011
Data Mining Project: A Critical Element in Teaching, Learning and Assessment of a Data Mining Module.
Proceedings of the Advances in Databases - 28th British National Conference on Databases, 2011
1999
J. Netw. Comput. Appl., 1999
1988
Proceedings of the Statistical and Scientific Database Management, 1988