CASIA OpenIR

浏览/检索结果: 共9条,第1-9条 帮助

限定条件                
已选(0)清除 条数/页:   排序方式:
Acquiring Weak Annotations for Tumor Localization in Temporal and Volumetric Data 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 318-330
作者:  Yu-Cheng Chou
Adobe PDF(4008Kb)  |  收藏  |  浏览/下载:33/13  |  提交时间:2024/04/03
Weak annotation, detection, localization, segmentation, colonoscopy, abdomen  
Machine Learning in Lung Cancer Radiomics 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 753-782
作者:  Jiaqi Li
Adobe PDF(7595Kb)  |  收藏  |  浏览/下载:64/39  |  提交时间:2023/11/23
Machine learning, lung cancer, radiomics, medical image, clinical application  
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 483-513
作者:  Wei-Chien Wang
Adobe PDF(2691Kb)  |  收藏  |  浏览/下载:75/31  |  提交时间:2023/08/02
Self-supervised learning (SSL), contrastive learning, deep learning, medical image analysis, computer vision  
Meta Ordinal Regression Forest for Medical Image Classification With Ordinal Labels 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 7, 页码: 1233-1247
作者:  Yiming Lei;  Haiping Zhu;  Junping Zhang;  Hongming Shan
Adobe PDF(2123Kb)  |  收藏  |  浏览/下载:193/47  |  提交时间:2022/06/27
Convolutional neural network (CNNs)  medical image classification  meta-learning  ordinal regression  random forest  
Encoding-decoding Network With Pyramid Self-attention Module for Retinal Vessel Segmentation 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 973-980
作者:  Cong-Zhong Wu
Adobe PDF(1416Kb)  |  收藏  |  浏览/下载:154/36  |  提交时间:2021/11/26
Retina vessel segmentation  deep learning  U-Net  attention mechanism  medical image  
Automatic Detection of COVID-19 Infection Using Chest X-Ray Images Through Transfer Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 1, 页码: 239-248
作者:  Elene Firmeza Ohata;  Gabriel Maia Bezerra;  João Victor Souza das Chagas;  Aloísio Vieira Lira Neto;  Adriano Bessa Albuquerque;  Victor Hugo C. de Albuquerque;  Pedro Pedrosa Rebouças Filho
Adobe PDF(9228Kb)  |  收藏  |  浏览/下载:107/23  |  提交时间:2021/04/09
Convolutional neural networks (CNNs)  COVID-19  transfer learning  X-ray  
Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning 期刊论文
EUROPEAN RESPIRATORY JOURNAL, 2019, 卷号: 53, 期号: 3, 页码: 11
作者:  Wang, Shuo;  Shi, Jingyun;  Ye, Zhaoxiang;  Dong, Di;  Yu, Dongdong;  Zhou, Mu;  Liu, Ying;  Gevaert, Olivier;  Wang, Kun;  Zhu, Yongbei;  Zhou, Hongyu;  Liu, Zhenyu;  Tian, Jie
浏览  |  Adobe PDF(743Kb)  |  收藏  |  浏览/下载:501/154  |  提交时间:2019/04/30
The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges 期刊论文
Theranostics, 2019, 卷号: 9, 期号: 5, 页码: 1303-1322
作者:  Liu, Zhenyu;  Wang, Shuo;  Dong, Di;  Wei, Jingwei;  Fang, Cheng;  Zhou, Xuezhi;  Sun, Kai;  Li, Longfei;  Li, Bo;  Wang, Meiyun;  Tian, Jie
浏览  |  Adobe PDF(2057Kb)  |  收藏  |  浏览/下载:848/510  |  提交时间:2019/04/30
Radiomics  Medical Imaging  Precision Diagnosis And Treatment  Oncology  
Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer 期刊论文
Radiotherapy and Oncology, 2018, 期号: 132, 页码: 171-177
作者:  Wang, Shuo;  Liu, Zhenyu;  Rong, Yu;  Zhou, Bin;  Bai, Yan;  Wei, Wei;  Wei, Wei;  Wang, Meiyun;  Guo, Yingkun;  Tian, Jie
浏览  |  Adobe PDF(1623Kb)  |  收藏  |  浏览/下载:418/112  |  提交时间:2019/04/30
Deep Learning  High-grade Serous Ovarian Cancer  Recurrence  Prognosis  Computed Tomography  Artificial Intelligence  Semi-supervised Learning  Auto Encoder  Unsupervised Learning