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Deep learning radiomics of multimodal ultrasound for classifying metastatic cervical lymphadenopathy into primary cancer sites: a feasibility study 期刊论文
ULTRASCHALL IN DER MEDIZIN, 2023, 页码: 11
Authors:  Zhu, Yangyang;  Meng, Zheling;  Wu, Hao;  Fan, Xiao;  Lv, Wenhao;  Tian, Jie;  Wang, Kun;  Nie, Fang
Favorite  |  View/Download:37/0  |  Submit date:2024/02/22
Multimodal Ultrasound  Metastatic Cervical Lymphadenopathy  Deep Learning  Primary Cancer Sites  
Deep learning-based radiomics model can predict extranodal soft tissue metastasis in gastric cancer 期刊论文
MEDICAL PHYSICS, 2023, 页码: 11
Authors:  Liu, Shengyuan;  Deng, Jingyu;  Dong, Di;  Fang, Mengjie;  Ye, Zhaoxiang;  Hu, Yanfeng;  Li, Hailin;  Zhong, Lianzhen;  Cao, Runnan;  Zhao, Xun;  Shang, Wenting;  Li, Guoxin;  Liang, Han;  Tian, Jie
Favorite  |  View/Download:94/0  |  Submit date:2023/11/17
deep learning  extranodal soft tissue metastasis  gastric cancer  radiomics  
A multi-view co-training network for semi-supervised medical image-based prognostic prediction 期刊论文
NEURAL NETWORKS, 2023, 卷号: 164, 页码: 455-463
Authors:  Li, Hailin;  Wang, Siwen;  Liu, Bo;  Fang, Mengjie;  Cao, Runnan;  He, Bingxi;  Liu, Shengyuan;  Hu, Chaoen;  Dong, Di;  Wang, Ximing;  Wang, Hexiang;  Tian, Jie
Favorite  |  View/Download:114/0  |  Submit date:2023/11/17
Deep neural network  Medical image analysis  Prognostic prediction  Semi-supervised learning  
Semi-supervised Long-tail Endoscopic Image Classification 期刊论文
Chinese Medical Sciences Journal, 2022, 卷号: 37, 期号: 3, 页码: 171-181
Authors:  Runnan Cao;  Mengjie Fang;  Hailing Li;  Jie Tian;  Di Dong
Adobe PDF(9519Kb)  |  Favorite  |  View/Download:134/33  |  Submit date:2023/06/14
endoscopic image  artificial intelligence  semi-supervised learning  long-tail distribution  image classification  
CEUSegNet: A Cross-Modality Lesion Segmentation Network for Contrast-Enhanced Ultrasound 会议论文
, Kolkata, India, 2022.3.28-31
Authors:  Zheling MENG;  Yangyang ZHU;  Xiao FAN;  Jie TIAN;  Fang NIE;  Kun WANG
Adobe PDF(1363Kb)  |  Favorite  |  View/Download:91/19  |  Submit date:2023/05/11
MSMFN: An ultrasound based multi-step modality fusion network for identifying the histologic subtypes of metastatic cervical lymphadenopathy 期刊论文
IEEE Transactions on Medical Imaging, 2022, 页码: 1-13
Authors:  Zheling, Meng;  Yangyang, Zhu;  Wenjing, Pang;  Jie, Tian;  Fang, Nie;  Kun, Wang
Adobe PDF(3049Kb)  |  Favorite  |  View/Download:246/48  |  Submit date:2023/03/27
Artificial intelligence in gastric cancer: applications and challenges 期刊论文
GASTROENTEROLOGY REPORT, 2022, 卷号: 10, 页码: 16
Authors:  Cao, Runnan;  Tang, Lei;  Fang, Mengjie;  Zhong, Lianzhen;  Wang, Siwen;  Gong, Lixin;  Li, Jiazheng;  Dong, Di;  Tian, Jie
Favorite  |  View/Download:174/0  |  Submit date:2023/01/09
gastric cancer  artificial intelligence  radiomics  endoscopy  computed tomography  pathology  
Deep learning radiomics of dual-modality ultrasound images for hierarchical diagnosis of unexplained cervical lymphadenopathy 期刊论文
BMC Medicine, 2022, 卷号: 20, 期号: 1, 页码: 1-13
Authors:  Zhu,Yangyang;  Meng,Zheling;  Fan,Xiao;  Duan,Yin;  Jia,Yingying;  Dong,Tiantian;  Wang,Yanfang;  Song,Juan;  Tian,Jie;  Wang,Kun;  Nie,Fang
Adobe PDF(3297Kb)  |  Favorite  |  View/Download:223/33  |  Submit date:2022/09/19
Deep learning  Cervical lymphadenopathy  Ultrasound  Reactive hyperplasia  Tuberculous lymphadenitis  Lymphoma  Metastatic carcinoma  
The potential of prostate gland radiomic features in identifying the Gleason score 期刊论文
COMPUTERS IN BIOLOGY AND MEDICINE, 2022, 卷号: 144, 页码: 11
Authors:  Gong, Lixin;  Xu, Min;  Fang, Mengjie;  He, Bingxi;  Li, Hailin;  Fang, Xiangming;  Dong, Di;  Tian, Jie
Favorite  |  View/Download:240/0  |  Submit date:2022/07/25
MRI  Radiomics  Prostate cancer  Gleason score  Gland segmentation  
Using multi-task learning to improve diagnostic performance of convolutional neural networks 会议论文
, San Diego, California, USA, 2019-2
Authors:  Fang, Mengjie;  Dong, Di;  Sun, Ruijia;  Fan, Li;  Sun, Yingshi;  Liu, Shiyuan;  Tian, Jie
Adobe PDF(299Kb)  |  Favorite  |  View/Download:101/34  |  Submit date:2022/06/14