Zhaoshuo Diao

19 papers Journal 18Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
A dual-branch pathology-prior attention mechanism based on Swin Transformer for the classification of p16/Ki-67 dual-staining cervical pathological cytology images.
Biomed. Signal Process. Control.
Quanyu E, Huiyan Jiang, Guoyu Tong, Zhaoshuo Diao, Xianhua Han, Zhimin Liu
2026 J jnl
EISegNet: Enhancing Instrument Segmentation Network via Dual-View Disparity Estimation.
IEEE J. Biomed. Health Informatics
Yongming Yang, Zhaoshuo Diao, Ziliang Song, Shenglin Zhang, Tiancong Liu, Chengdong Wu, Weiliang Bai, Hao Liu
2026 J jnl
Mitigating label noise impact: A plug-and-play RECIST-based iterative label refinement teacher-student learning paradigm for medical image segmentation.
Pattern Recognit.
Zhaoshuo Diao, Yan Zhang, Ye Yuan, Qian Wang, Ying Zhang, Yue Gao
2025 J jnl
An uncertainty-based Collaborative Weakly Supervised Segmentation Network for Positron emission tomography-Computed tomography images.
Eng. Appl. Artif. Intell.
Zhaoshuo Diao, Huiyan Jiang
2025 J jnl
Learnable confidence-driven asymmetric attention fusion mechanism for PET/CT tumor segmentation.
J. Supercomput.
Zhaoshuo Diao, Yan Zhang, Yang Xu, Xi Chen, Zongzhe Sun
2025 J jnl
Multi-Task Collaborative Assisted Training Method for Grouping Fuzzy Categories Classification of Cervical Cancer Cells.
IEEE J. Biomed. Health Informatics
Yizhou Chen, Huiyan Jiang, Wenbo Pang, Zhaoshuo Diao, Jing Yang
2024 J jnl
A multi-instance tumor subtype classification method for small PET datasets using RA-DL attention module guided deep feature extraction with radiomics features.
Comput. Biol. Medicine
Zhaoshuo Diao, Huiyan Jiang
2024 J jnl
EFCM: Efficient Fine-tuning on Compressed Models for deployment of large models in medical image analysis.
CoRR
Shaojie Li, Zhaoshuo Diao
2023 J jnl
A review of deep learning-based multiple-lesion recognition from medical images: classification, detection and segmentation.
Comput. Biol. Medicine
Huiyan Jiang, Zhaoshuo Diao, Tianyu Shi, Yang Zhou, Feiyu Wang, Wenrui Hu, Xiaolin Zhu, Shijie Luo, Guoyu Tong, Yu-Dong Yao
2023 J jnl
A spatial squeeze and multimodal feature fusion attention network for multiple tumor segmentation from PET-CT Volumes.
Eng. Appl. Artif. Intell.
Zhaoshuo Diao, Huiyan Jiang, Tianyu Shi
2023 J jnl
CGBO-Net: Cruciform structure guided and boundary-optimized lymphoma segmentation network.
Comput. Biol. Medicine
Xiaolin Zhu, Huiyan Jiang, Zhaoshuo Diao
2023 J jnl
Leverage prior texture information in deep learning-based liver tumor segmentation: A plug-and-play Texture-Based Auto Pseudo Label module.
Comput. Medical Imaging Graph.
Zhaoshuo Diao, Huiyan Jiang, Yang Zhou
2023 J jnl
MRLA-Net: A tumor segmentation network embedded with a multiple receptive-field lesion attention module in PET-CT images.
Comput. Biol. Medicine
Yang Zhou, Huiyan Jiang, Zhaoshuo Diao, Guoyu Tong, Qiu Luan, Yaming Li, Xuena Li
2023 J jnl
MSU-Net: Multi-scale Sensitive U-Net based on pixel-edge-region level collaborative loss for nasopharyngeal MRI segmentation.
Comput. Biol. Medicine
Yuanquan Hao, Huiyan Jiang, Zhaoshuo Diao, Tianyu Shi, Lizhi Liu, Haojiang Li, Weijing Zhang
2023 J jnl
Metabolic Anomaly Appearance Aware U-Net for Automatic Lymphoma Segmentation in Whole-Body PET/CT Scans.
IEEE J. Biomed. Health Informatics
Tianyu Shi, Huiyan Jiang, Meng Wang, Zhaoshuo Diao, Guoxu Zhang, Yu-Dong Yao
2023 J jnl
Siamese semi-disentanglement network for robust PET-CT segmentation.
Expert Syst. Appl.
Zhaoshuo Diao, Huiyan Jiang, Tianyu Shi, Yu-Dong Yao
2022 J jnl
A unified uncertainty network for tumor segmentation using uncertainty cross entropy loss and prototype similarity.
Knowl. Based Syst.
Zhaoshuo Diao, Huiyan Jiang, Tianyu Shi
2022 J jnl
Deep learning techniques for tumor segmentation: a review.
J. Supercomput.
Huiyan Jiang, Zhaoshuo Diao, Yu-Dong Yao
2022 — conf
Uncertainty Analysis Based Attention Network for Lung Nodule Segmentation from CT Images.
ICVARS
Guangrui Liang, Zhaoshuo Diao, Huiyan Jiang