杜敏｜江苏大学｜学者主页

2025

节能燃气加热器中折流板的应力分析与优化

杜敏，张帅平，张永春，王跃成，张嘉迪

《江苏大学学报(自然科学版)》

2024

A deep learning model fusion algorithm for the diagnosis of gastric Mucosa-associated lymphoid tissue lymphoma

Jiawei Quan, Jingxuan Ye, Junlin Lan, Jianchao Wang, Ziwei Hu, Zhechen Guo, Tao Wang, Zi-Zhao Han, Zhi-Da Wu, Tao Tan, Min Du, Tong Tong, Gang Chen

Biomedical Signal Processing and Control

DOI

2024

HTC-Net: A hybrid CNN-transformer framework for medical image segmentation

Hui Tang, Yuan-Bin Chen, Tao Wang, Yuan-Bo Zhou, Longxuan Zhao, Qin-Quan Gao, Min Du, Tao Tan, Xin-Lin Zhang, Tong Tong

Biomedical Signal Processing and Control

DOI

2023

A multi-task deep learning framework for perineural invasion recognition in gastric cancer whole slide images

Ziwei Hu, Yanglin Deng, Junlin Lan, Tao Wang, Zi-Zhao Han, Yuxiu Huang, Hejun Zhang, Jianchao Wang, Musheng Cheng, Haiyan Jiang, Ren-Guey Lee, Min Du, T. Tong, Qin-Quan Gao, Gang Chen

Biomedical Signal Processing and Control

DOI

2023

CoTrFuse: a novel framework by fusing CNN and transformer for medical image segmentation

Yuan-Bin Chen, Tao Wang, Hui Tang, Long-Xuan Zhao, Xin-Lin Zhang, Tao Tan, Qin-Quan Gao, Min Du, T. Tong

Physics in Medicine and Biology

DOI

2023

Prediction of lymph node metastasis in primary gastric cancer from pathological images and clinical data by multimodal multiscale deep learning

Zhechen Guo, Junlin Lan, Jianchao Wang, Ziwei Hu, Zhi-Da Wu, Jiawei Quan, Zi-Zhao Han, Tao Wang, Min Du, Qin-Quan Gao, Yuyang Xue, T. Tong, Gang Chen

Biomedical Signal Processing and Control

DOI

2023

Using less annotation workload to establish a pathological auxiliary diagnosis system for gastric cancer

Junlin Lan, Mu-Yi Chen, Jianchao Wang, Min Du, Zhi-Da Wu, Hejun Zhang, Yuyang Xue, Tao Wang, Li-Fan Chen, Chaohui Xu, Zi-Zhao Han, Ziwei Hu, Yuanbo Zhou, Xiaogen Zhou, T. Tong, Gang Chen

Cell Reports Medicine

DOI

2023

CUSS-Net: A Cascaded Unsupervised-Based Strategy and Supervised Network for Biomedical Image Diagnosis and Segmentation

Xiaogen Zhou, Zhiqiang Li, Yuyang Xue, Shun Chen, Mei-Juan Zheng, Cong Chen, Yue Yu, Xingqing Nie, Xing Lin, Luoyan Wang, Junlin Lan, Gang Chen, Min Du, En-Sheng Xue, T. Tong

IEEE journal of biomedical and health informatics

DOI

2023

Pseudo Label-Guided Data Fusion and Output Consistency for Semi-Supervised Medical Image Segmentation

Tao Wang, Yuan-Bin Chen, Xin-Lin Zhang, Yuan-Bo Zhou, Junlin Lan, Bizhe Bai, Tao Tan, Min Du, Qin-Quan Gao, Tong Tong

arXiv.org

DOI

2023

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

Tao Wang, Xin-Lin Zhang, Yuanbo Zhou, Junlin Lan, T. Tan, Min Du, Qin-Quan Gao, T. Tong

arXiv.org

DOI

2022

H-Net: A dual-decoder enhanced FCNN for automated biomedical image diagnosis

Xiaogen Zhou, Xingqing Nie, Zhiqiang Li, Xing Lin, En-Sheng Xue, Luoyan Wang, Junlin Lan, Gang Chen, Min Du, T. Tong

Information Sciences

DOI

2022

A Super-resolution Guided Network for Improving Automated Thyroid Nodule Segmentation

Xing Lin, Xiaogen Zhou, T. Tong, Xingqing Nie, Luoyan Wang, Haonan Zheng, Jing Li, En-Sheng Xue, Shun Chen, Mei-Juan Zheng, Cong Chen, Haiyan Jiang, Min Du, Qin-Quan Gao

Comput. Methods Programs Biomed.

DOI

2022

Corrigendum: N-Net: A novel dense fully convolutional neural network for thyroid nodule segmentation

Xingqing Nie, Xiaogen Zhou, T. Tong, Xing Lin, Luoyan Wang, Haonan Zheng, Jing Li, En-Sheng Xue, Shun Chen, Mei-Juan Zheng, Cong Chen, Min Du

Frontiers in Neuroscience

DOI

2022

N-Net: A novel dense fully convolutional neural network for thyroid nodule segmentation

Xingqing Nie, Xiaogen Zhou, T. Tong, Xing Lin, Luoyan Wang, Haonan Zheng, Jing Li, En-Sheng Xue, Shun Chen, Mei-Juan Zheng, Cong Chen, Min Du

Frontiers in Neuroscience

DOI

2022

A Multi-Scale Densely Connected Convolutional Neural Network for Automated Thyroid Nodule Classification

Luoyan Wang, Xiaogen Zhou, Xingqing Nie, Xing Lin, Jing Li, Haonan Zheng, En-Sheng Xue, Shun Chen, Cong Chen, Min Du, T. Tong, Qin-Quan Gao, Mei-Juan Zheng

Frontiers in Neuroscience

DOI

2021

Bidirectional Mapping of Brain MRI and PET With 3D Reversible GAN for the Diagnosis of Alzheimer’s Disease

Wan-Yun Lin, Wei-Ming Lin, Gang Chen, Hejun Zhang, Qin-Quan Gao, Ye-Chong Huang, T. Tong, Min Du

Frontiers in Neuroscience

DOI

2021

Multiclass diagnosis of stages of Alzheimer's disease using linear discriminant analysis scoring for multimodal data

Wei-Ming Lin, Qin-Quan Gao, Min Du, Wei-Sheng Chen, T. Tong

Comput. Biol. Medicine

DOI

2021

Unpaired Stain Style Transfer Using Invertible Neural Networks Based on Channel Attention and Long-Range Residual

Junlin Lan, Shaojin Cai, Yuyang Xue, Qin-Quan Gao, Min Du, Hejun Zhang, Zhi-Da Wu, Yanglin Deng, Yuxiu Huang, T. Tong, Gang Chen

IEEE Access

DOI

2020

Image Colorization Algorithm based on Self-Attention Network

Li-Dan Wu, T. Tong, Min Du, Qin-Quan Gao

2020 Cross Strait Radio Science & Wireless Technology Conference (CSRSWTC)

DOI

2020

: Predicting

Wei-Ming Lin, Qin-Quan Gao, Jiang-Nan Yuan, Zhi-Ying Chen, Chen-Wei Feng, Wei-Sheng Chen, Min Du, T. Tong

2019

Stain Style Transfer Using Transitive Adversarial Networks

Shaojin Cai, Yuyang Xue, Qin-Quan Gao, Min Du, Gang Chen, Hejun Zhang, T. Tong

MLMIR@MICCAI

DOI

2018

Convolutional Neural Networks-Based MRI Image Analysis for the Alzheimer’s Disease Prediction From Mild Cognitive Impairment

Wei-Ming Lin, T. Tong, Qin-Quan Gao, D. Guo, Xiaofeng Du, Yong-Gui Yang, Gang Guo, Min Xiao, Min Du, X. Qu

Frontiers in Neuroscience

DOI

2017

FZUImageReg: A toolbox for medical image registration and dose fusion in cervical cancer radiotherapy

Qin-Quan Gao, Shaohui Lin, P. Bai, Min Du, Xiaolei Ni, Dong-Zhong Ke, T. Tong

PLoS ONE

DOI

杜敏

精选作品

期刊论文

节能燃气加热器中折流板的应力分析与优化

A deep learning model fusion algorithm for the diagnosis of gastric Mucosa-associated lymphoid tissue lymphoma

HTC-Net: A hybrid CNN-transformer framework for medical image segmentation

A multi-task deep learning framework for perineural invasion recognition in gastric cancer whole slide images

CoTrFuse: a novel framework by fusing CNN and transformer for medical image segmentation

Prediction of lymph node metastasis in primary gastric cancer from pathological images and clinical data by multimodal multiscale deep learning

Using less annotation workload to establish a pathological auxiliary diagnosis system for gastric cancer

CUSS-Net: A Cascaded Unsupervised-Based Strategy and Supervised Network for Biomedical Image Diagnosis and Segmentation

Pseudo Label-Guided Data Fusion and Output Consistency for Semi-Supervised Medical Image Segmentation

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

H-Net: A dual-decoder enhanced FCNN for automated biomedical image diagnosis

A Super-resolution Guided Network for Improving Automated Thyroid Nodule Segmentation

Corrigendum: N-Net: A novel dense fully convolutional neural network for thyroid nodule segmentation

N-Net: A novel dense fully convolutional neural network for thyroid nodule segmentation

A Multi-Scale Densely Connected Convolutional Neural Network for Automated Thyroid Nodule Classification

Bidirectional Mapping of Brain MRI and PET With 3D Reversible GAN for the Diagnosis of Alzheimer’s Disease

Multiclass diagnosis of stages of Alzheimer's disease using linear discriminant analysis scoring for multimodal data

Unpaired Stain Style Transfer Using Invertible Neural Networks Based on Channel Attention and Long-Range Residual

Image Colorization Algorithm based on Self-Attention Network

: Predicting

Stain Style Transfer Using Transitive Adversarial Networks

Convolutional Neural Networks-Based MRI Image Analysis for the Alzheimer’s Disease Prediction From Mild Cognitive Impairment

FZUImageReg: A toolbox for medical image registration and dose fusion in cervical cancer radiotherapy