Tao Wang

Orcid: 0009-0006-4868-1484

Affiliations:
  • Fuzhou University, College of Physics and Information Engineering, China


According to our database1, Tao Wang authored at least 17 papers between 2023 and 2025.

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Bibliography

2025
PCDAL: A Perturbation Consistency-Driven Active Learning Approach for Medical Image Segmentation and Classification.
IEEE Trans. Emerg. Top. Comput. Intell., August, 2025

Innovative Quantitative Analysis for Disease Progression Assessment in Familial Cerebral Cavernous Malformations.
IEEE Trans. Biomed. Eng., July, 2025

DiffSteISR: Harnessing diffusion prior for superior real-world stereo image super-resolution.
Neurocomputing, 2025

A universal parameter-efficient fine-tuning approach for stereo image super-resolution.
Eng. Appl. Artif. Intell., 2025

MSAByNet: A multiscale subtraction attention network framework based on Bayesian loss for medical image segmentation.
Biomed. Signal Process. Control., 2025

Pseudo Label-Guided Data Fusion and output consistency for semi-supervised medical image segmentation.
Biomed. Signal Process. Control., 2025

2024
HTC-Net: A hybrid CNN-transformer framework for medical image segmentation.
Biomed. Signal Process. Control., February, 2024

ScribbleVS: Scribble-Supervised Medical Image Segmentation via Dynamic Competitive Pseudo Label Selection.
CoRR, 2024

Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image Segmentation.
CoRR, 2024

A deep learning model fusion algorithm for the diagnosis of gastric Mucosa-associated lymphoid tissue lymphoma.
Biomed. Signal Process. Control., 2024

MDIINet: A Few-Shot Semantic Segmentation Network by Exploiting Multi-dimensional Information Interaction.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024


2023
Prediction of lymph node metastasis in primary gastric cancer from pathological images and clinical data by multimodal multiscale deep learning.
Biomed. Signal Process. Control., September, 2023

Pseudo Label-Guided Data Fusion and Output Consistency for Semi-Supervised Medical Image Segmentation.
CoRR, 2023

Dual-Decoder Consistency via Pseudo-Labels Guided Data Augmentation for Semi-Supervised Medical Image Segmentation.
CoRR, 2023

PCDAL: A Perturbation Consistency-Driven Active Learning Approach for Medical Image Segmentation and Classification.
CoRR, 2023

A multi-task deep learning framework for perineural invasion recognition in gastric cancer whole slide images.
Biomed. Signal Process. Control., 2023


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