Kai Hu
Orcid: 0000-0003-1436-9522Affiliations:
- Xiangtan University, Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education, Key Laboratory of Medical Imaging and Artificial Intelligence of Hunan Province, China
According to our database1,
Kai Hu
authored at least 53 papers
between 2011 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Expert Syst. Appl., February, 2024
Multi-scale Perception and Feature Refinement Network for multi-class segmentation of intracerebral hemorrhage in CT images.
Biomed. Signal Process. Control., February, 2024
GDTNet: A Synergistic Dilated Transformer and CNN by Gate Attention for Abdominal Multi-organ Segmentation.
Proceedings of the MultiMedia Modeling - 30th International Conference, 2024
2023
Boundary-Guided and Region-Aware Network With Global Scale-Adaptive for Accurate Segmentation of Breast Tumors in Ultrasound Images.
IEEE J. Biomed. Health Informatics, September, 2023
A new two-stream network based on feature separation and complementation for ultrasound image segmentation.
Biomed. Signal Process. Control., April, 2023
DSC-Net: A Novel Interactive Two-Stream Network by Combining Transformer and CNN for Ultrasound Image Segmentation.
IEEE Trans. Instrum. Meas., 2023
MWG-Net: Multiscale Wavelet Guidance Network for COVID-19 Lung Infection Segmentation From CT Images.
IEEE Trans. Instrum. Meas., 2023
Transwnet: Integrating Transformers into CNNS via Row and Column Attention for Abdominal Multi-Organ Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Automatic Segmentation of Nasopharyngeal Carcinoma in CT Images Using Dual Attention and Edge Detection.
Proceedings of the IEEE International Conference on Acoustics, 2023
Pseudo Multi-Source Domain Extension and Selective Pseudo-Labeling for Unsupervised Domain Adaptive Medical Image Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Self-distillation Augmented Masked Autoencoders for Histopathological Image Understanding.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Joint-Seg: Treat Foveal Avascular Zone and Retinal Vessel Segmentation in OCTA Images as a Joint Task.
IEEE Trans. Instrum. Meas., 2022
Bridge-Net: Context-involved U-net with patch-based loss weight mapping for retinal blood vessel segmentation.
Expert Syst. Appl., 2022
Expert Syst. Appl., 2022
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022
A Novel Convolutional Neural Network Based on Adaptive Multi-Scale Aggregation and Boundary-Aware for Lateral Ventricle Segmentation on MR images.
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Embedded Residual Recurrent Network and Graph Search for the Segmentation of Retinal Layer Boundaries in Optical Coherence Tomography.
IEEE Trans. Instrum. Meas., 2021
Pattern Recognit. Lett., 2021
CRDet: Improving Signet Ring Cell Detection by Reinforcing the Classification Branch.
J. Comput. Biol., 2021
Deep supervised learning using self-adaptive auxiliary loss for COVID-19 diagnosis from imbalanced CT images.
Neurocomputing, 2021
Expert Syst. Appl., 2021
A Hybrid Feature Enhancement Method for Gl And Segmentation In Histopathology Images.
Proceedings of the IEEE International Conference on Acoustics, 2021
BGRA-Net: Boundary-Guided and Region-Aware Convolutional Neural Network for the Segmentation of Breast Ultrasound Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Automatic segmentation of dermoscopy images using saliency combined with adaptive thresholding based on wavelet transform.
Multim. Tools Appl., 2020
Automatic segmentation of intracerebral hemorrhage in CT images using encoder-decoder convolutional neural network.
Inf. Process. Manag., 2020
IET Image Process., 2020
Multi-Modal Weights Sharing and Hierarchical Feature Fusion for RGBD Salient Object Detection.
IEEE Access, 2020
Automated Segmentation of Lateral Ventricle in MR Images Using Multi-scale Feature Fusion Convolutional Neural Network.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
EffiDiag: an Efficient Framework for Breast Cancer Diagnosis in Multi-Gigapixel Whole Slide Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
HMOE-Net: Hybrid Multi-scale Object Equalization Network for Intracerebral Hemorrhage Segmentation in CT Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Nuclei Segmentation in Histopathology Images Using Rotation Equivariant and Multi-level Feature Aggregation Neural Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
A Skin Lesion Segmentation Method Based on Saliency and Adaptive Thresholding in Wavelet Domain.
Proceedings of the Cognitive Internet of Things: Frameworks, Tools and Applications, 2019
A Novel Active Contour Model Using Oriented Smoothness and Infinite Laplacian for Medical Image Segmentation.
Proceedings of the Cognitive Internet of Things: Frameworks, Tools and Applications, 2019
Hyperspectral Image Denoising via Subspace-Based Nonlocal Low-Rank and Sparse Factorization.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019
Multim. Tools Appl., 2019
Hyperspectral image classification via compact-dictionary-based sparse representation.
Multim. Tools Appl., 2019
Automatic segmentation of retinal layer boundaries in OCT images using multiscale convolutional neural network and graph search.
Neurocomputing, 2019
Expert Syst. Appl., 2019
Classification of melanoma based on feature similarity measurement for codebook learning in the bag-of-features model.
Biomed. Signal Process. Control., 2019
Brain Tumor Segmentation Using Multi-Cascaded Convolutional Neural Networks and Conditional Random Field.
IEEE Access, 2019
2018
Retinal vessel segmentation of color fundus images using multiscale convolutional neural network with an improved cross-entropy loss function.
Neurocomputing, 2018
IET Image Process., 2018
The complex data denoising in MR images based on the directional extension for the undecimated wavelet transform.
Biomed. Signal Process. Control., 2018
2017
Microcalcification diagnosis in digital mammography using extreme learning machine based on hidden Markov tree model of dual-tree complex wavelet transform.
Expert Syst. Appl., 2017
Classification of Foreign Object Debris Using Integrated Visual Features and Extreme Learning Machine.
Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017
2011
Detection of Suspicious Lesions by Adaptive Thresholding Based on Multiresolution Analysis in Mammograms.
IEEE Trans. Instrum. Meas., 2011