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基于文本与图像的肺疾病研究与预测 期刊论文
自动化学报, 2022, 卷号: 48, 期号: 2, 页码: 531-538
Authors:  吕晴;  赵奎;  曹吉龙;  魏景峰
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深度学习  神经网络  多头注意力机制  bi-LSTM  肺癌  
一种改进的特征子集区分度评价准则 期刊论文
自动化学报, 2022, 卷号: 48, 期号: 5, 页码: 1292-1306
Authors:  谢娟英;  吴肇中;  郑清泉;  王明钊
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特征子集区分度  特征选择  离散系数  极限学习机  特征搜索策略  
基于多模型融合的肺部CT新冠肺炎病灶区域自动分割 期刊论文
自动化学报, 2023, 卷号: 49, 期号: 2, 页码: 317-328
Authors:  史天意;  程枫;  李震;  郑传胜;  许永超;  白翔
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新冠肺炎  计算机断层扫描影像分割  深度学习  泛化性能  
基于双模型交互学习的半监督医学图像分割 期刊论文
自动化学报, 2023, 卷号: 49, 期号: 4, 页码: 805-819
Authors:  方超伟;  李雪;  李钟毓;  焦李成;  张鼎文
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半监督学习  医学图像分割  双模型交互学习  平均教师  
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
Authors:  Yu-Cheng Chou;  Bowen Li;  Deng-Ping Fan;  Alan Yuille;  Zongwei Zhou
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Weak annotation, detection, localization, segmentation, colonoscopy, abdomen  
Multitask Learning with Multiscale Residual Attention for Brain Tumor Segmentation and Classification 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 897-908
Authors:  Gaoxiang Li;  Xiao Hui;  Wenjing Li;  Yanlin Luo
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Brain tumor segmentation and classification, multitask learning, multiscale residual attention module (MRAM), dynamic weight training, prior knowledge  
Machine Learning in Lung Cancer Radiomics 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 753-782
Authors:  Jiaqi Li;  Zhuofeng Li;  Lei Wei;  Xuegong Zhang
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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
Authors:  Wei-Chien Wang;  Euijoon Ahn;  Dagan Feng;  Jinman Kim
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Self-supervised learning (SSL), contrastive learning, deep learning, medical image analysis, computer vision  
Pre-training in Medical Data: A Survey 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 2, 页码: 147-149
Authors:  Yixuan Qiu;  Feng Lin;  Weitong Chen;  Miao Xu
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Medical data  pre-training  transfer learning  self-supervised learning  medical image data  electrocardiograms (ECG) data  
Deep Gradient Learning for Efficient Camouflaged Object Detection 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 1, 页码: 92-108
Authors:  Ge-Peng Ji;  Deng-Ping Fan;  Yu-Cheng Chou;  Dengxin Dai;  Alexander Liniger;  Luc Van Gool
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Camouflaged object detection (COD)  object gradient  soft grouping  efficient model  image segmentation