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A Deep-Learning Model With the Attention Mechanism Could Rigorously Predict Survivals in Neuroblastoma 期刊论文
FRONTIERS IN ONCOLOGY, 2021, 卷号: 11, 页码: 14
作者:  Feng, Chenzhao;  Xiang, Tianyu;  Yi, Zixuan;  Meng, Xinyao;  Chu, Xufeng;  Huang, Guiyang;  Zhao, Xiang;  Chen, Feng;  Xiong, Bo;  Feng, Jiexiong
收藏  |  浏览/下载：203/0  |  提交时间：2021/11/02
neuroblastoma  survival  deep-learning (DL)  individual therapy  transcriptome  
CONVOLUTIONAL NEURAL NETWORKS FOR PREDICTING MOLECULAR PROFILES OF NON-SMALL CELL LUNG CANCER 会议论文
IEEE International Symposium on Biomedical Imaging. 2017., 澳大利亚墨尔本, 2017.04.17-2017.04.22
作者:  Dongdong,Yu;  Mu,Zhou;  Feng,Yang;  Di,Dong;  Olivier,Gevaert;  Zaiyi,Liu;  Jingyun,Shi;  Jie,Tian
收藏  |  浏览/下载：90/0  |  提交时间：2020/10/27
Non-small Cell Lung Carcinoma  Convolutional Neural Networks  Computed Tomography  Computed-aided Diagnosis  
CNN-G: convolutional neural network combined with graph for image segmentation with theoretical analysis 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2021, 卷号: 0, 期号: 0, 页码: 0
作者:  Lu, Yi;  Chen, Yaran;  Zhao, Dongbin;  Liu, Bao;  Lai, Zhichao;  Chen, Jianxin
浏览  |  Adobe PDF(5636Kb)  |  收藏  |  浏览/下载：355/144  |  提交时间：2020/10/19
Graph neural network, image segmentation, self-attention, structure pattern learning.  
Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study 期刊论文
ANNALS OF ONCOLOGY, 2020, 卷号: 31, 期号: 7, 页码: 912-920
作者:  Dong, D.;  Fang, M. -J.;  Tang, L.;  Shan, X. -H.;  Gao, J. -B.;  Giganti, F.;  Wang, R. -P.;  Chen, X.;  Wang, X. -X.;  Palumbo, D.;  Fu, J.;  Li, W. -C.;  Li, J.;  Zhong, L. -Z.;  De Cobelli, F.;  Ji, J. -F.;  Liu, Z. -Y.;  Tian, J.
收藏  |  浏览/下载：269/0  |  提交时间：2020/07/20
基于深度学习策略的超声多模态影像组学方法研究 学位论文
, 中国科学院大学自动化研究所: 中国科学院大学, 2020
作者:  周辉
Adobe PDF(4006Kb)  |  收藏  |  浏览/下载：450/6  |  提交时间：2020/05/28
超声成像  深度学习  影像组学  无创诊断  人工智能  
Deep learning radiomics for non-invasive diagnosis of benign and malignant thyroid nodules using ultrasound images 会议论文
, California, 2020.2.15
作者:  Zhou, Hui;  Wang, Kun;  Tian, Jie
浏览  |  Adobe PDF(817Kb)  |  收藏  |  浏览/下载：212/65  |  提交时间：2020/05/28
Online Transfer Learning for Differential Diagnosis of Benign and Malignant Thyroid 期刊论文
IEEE Transactions on Biomedical Engineering, 2020, 期号: 0, 页码: 0
作者:  Zhou, Hui;  Wang, Kun;  Tian, Jie
浏览  |  Adobe PDF(1177Kb)  |  收藏  |  浏览/下载：287/85  |  提交时间：2020/05/28
Diagnosis  Ultrasound Images  Online Learning  Radiomics  Transfer Learning  Thyroid Nodules  
Differential Diagnosis of Benign and Malignant Thyroid Nodules Using Deep Learning Radiomics of Thyroid Ultrasound Images 期刊论文
European Journal of Radiology, 2020, 期号: 127, 页码: 0
作者:  Zhou, Hui;  Jin, Yinhua;  Dai, Lei;  Zhang, Meiwu;  Qiu, Yuqin;  Wang, Kun;  Tian, Jie;  Zheng, Jianjun
浏览  |  Adobe PDF(2025Kb)  |  收藏  |  浏览/下载：291/90  |  提交时间：2020/05/28
Thyroid Nodules  Thyroid Ultrasound  Deep Learning  Ultrasound Radiomics  Diagnosis  
The fusion landscape of hepatocellular carcinoma 期刊论文
MOLECULAR ONCOLOGY, 2019, 卷号: 13, 期号: 5, 页码: 1214-1225
作者:  Zhu, Chengpei;  Wu, Liangcai;  Lv, Yanling;  Guan, Jinxia;  Bai, Xue;  Lin, Jianzhen;  Liu, Tingting;  Yang, Xiaobo;  Robson, Simon C.;  Sang, Xinting;  Xue, Chenghai;  Zhao, Haitao
收藏  |  浏览/下载：245/0  |  提交时间：2019/12/16
biomarker  gene fusion  hepatocellular carcinoma  recurrent fusion gene  
Computed Tomography Radiomic Nomogram for Preoperative Prediction of Extrathyroidal Extension in Papillary Thyroid Carcinoma 期刊论文
FRONTIERS IN ONCOLOGY, 2019, 卷号: 9, 页码: 9
作者:  Chen, Bin;  Zhong, Lianzhen;  Dong, Di;  Zheng, Jianjun;  Fang, Mengjie;  Yu, Chunyao;  Dai, Qi;  Zhang, Liwen;  Tian, Jie;  Lu, Wei;  Jin, Yinhua
收藏  |  浏览/下载：336/0  |  提交时间：2019/12/16
thyroid cancer  computed tomography  radiomics  tumor staging  nomograms