Zhaoshuo Diao
No. 111, Shenliao Road
Shenyang, 110870, China
Shenyang, 110870, China
Last Updated: 09/26/2026
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Found 14 publications
CED-Diff: a clinically-experience-driven diffusion model with differentiated feature extraction for head and neck tumour PET/CT segmentation.
Journal: Physics in medicine and biology
Published: July 21, 2026
An Experience-Driven Interpretable Multi-Task Model for Segmentation and Classification of Small Cell Lung Cancer and Non-Small Cell Lung Cancer From CT Images.
Journal: IEEE journal of biomedical and health informatics
Published: February 27, 2026
EISegNet: Enhancing Instrument Segmentation Network via Dual-View Disparity Estimation.
Journal: IEEE journal of biomedical and health informatics
Published: August 20, 2025
Multi-Task Collaborative Assisted Training Method for Grouping Fuzzy Categories Classification of Cervical Cancer Cells.
Journal: IEEE journal of biomedical and health informatics
Published: May 09, 2025
CoF-DResNet: Cancer Metastasis Recognition Network based on Dynamic Coordinated Metabolic Attention and Structural Attention.
Journal: Current pharmaceutical biotechnology
Published: January 05, 2024
A multi-instance tumor subtype classification method for small PET datasets using RA-DL attention module guided deep feature extraction with radiomics features.
Journal: Computers in biology and medicine
Published: August 04, 2023
Metabolic Anomaly Appearance Aware U-Net for Automatic Lymphoma Segmentation in Whole-Body PET/CT Scans.
Journal: IEEE journal of biomedical and health informatics
Published: April 07, 2023
Leverage prior texture information in deep learning-based liver tumor segmentation: A plug-and-play Texture-Based Auto Pseudo Label module.
Journal: Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Published: November 28, 2022
A review of deep learning-based multiple-lesion recognition from medical images: classification, detection and segmentation.
Journal: Computers in biology and medicine
Published: November 15, 2022
MRLA-Net: A tumor segmentation network embedded with a multiple receptive-field lesion attention module in PET-CT images.
Journal: Computers in biology and medicine
Published: September 06, 2022
MSU-Net: Multi-scale Sensitive U-Net based on pixel-edge-region level collaborative loss for nasopharyngeal MRI segmentation.
Journal: Computers in biology and medicine
Published: July 09, 2022
CGBO-Net: Cruciform structure guided and boundary-optimized lymphoma segmentation network.
Journal: Computers in biology and medicine
Published: May 17, 2022
Last Updated: 09/26/2026