Pan Huang
Orcid: 0000-0001-8158-2628Affiliations:
- Hong Kong Polytechnic University
- Chongqing University, Key Lab of Optoelectronic Technology and Systems, Chongqing, China
- Xinjiang University, College of Information Science and Engineering, Urumqi, China
According to our database1,
Pan Huang
authored at least 18 papers
between 2020 and 2025.
Collaborative distances:
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Bibliography
2025
MCRANet: MTSL-based connectivity region attention network for PD-L1 status segmentation in H&E stained images.
Comput. Biol. Medicine, 2025
CGAM: An end-to-end causality graph attention Mamba network for esophageal pathology grading.
Biomed. Signal Process. Control., 2025
2024
LA-ViT: A Network With Transformers Constrained by Learned-Parameter-Free Attention for Interpretable Grading in a New Laryngeal Histopathology Image Dataset.
IEEE J. Biomed. Health Informatics, June, 2024
MamlFormer: Priori-experience guiding transformer network via manifold adversarial multi-modal learning for laryngeal histopathological grading.
Inf. Fusion, 2024
RADDA-Net: Residual attention-based dual discriminator adversarial network for surface defect detection.
Eng. Appl. Artif. Intell., 2024
Isolation forest-voting fusion-multioutput: A stroke risk classification method based on the multidimensional output of abnormal sample detection.
Comput. Methods Programs Biomed., 2024
2023
Interpretable laryngeal tumor grading of histopathological images via depth domain adaptive network with integration gradient CAM and priori experience-guided attention.
Comput. Biol. Medicine, March, 2023
A ViT-AMC Network With Adaptive Model Fusion and Multiobjective Optimization for Interpretable Laryngeal Tumor Grading From Histopathological Images.
IEEE Trans. Medical Imaging, 2023
DCA-DAFFNet: An End-to-End Network With Deformable Fusion Attention and Deep Adaptive Feature Fusion for Laryngeal Tumor Grading From Histopathology Images.
IEEE Trans. Instrum. Meas., 2023
2022
FABNet: Fusion Attention Block and Transfer Learning for Laryngeal Cancer Tumor Grading in P63 IHC Histopathology Images.
IEEE J. Biomed. Health Informatics, 2022
E-TBNet: Light Deep Neural Network for Automatic Detection of Tuberculosis with X-ray DR Imaging.
Sensors, 2022
A Growing Model-Based OCSVM for Abnormal Student Activity Detection from Daily Campus Consumption.
New Gener. Comput., 2022
Biomed. Signal Process. Control., 2022
Proceedings of the 22nd IEEE International Conference on Bioinformatics and Bioengineering, 2022
2021
AF-SENet: Classification of Cancer in Cervical Tissue Pathological Images Based on Fusing Deep Convolution Features.
Sensors, 2021
2020
Recognition of Common Non-Normal Walking Actions Based on Relief-F Feature Selection and Relief-Bagging-SVM.
Sensors, 2020
IEEE Access, 2020
IEEE Access, 2020