| LEARNING FROM WEAKLY-LABELED CLINICAL DATA FOR AUTOMATIC THYROID NODULE CLASSIFICATION IN ULTRASOUND IMAGES | |
| Wang, Jianxiong; Li, Shuai; Song, Wenfeng; Qin, Hong; Zhang, Bo; Hao, Aimin | |
| 2018 | |
| 会议名称 | 2018 25TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) |
| 会议日期 | 2018-01-01 |
| 关键词 | Weakly-labeled data Multi-instance learning (MIL) Convolutional neural network (CNN) Thyroid ultrasound image Automatic nodule classification |
| 页码 | 3114-3118 |
| 收录类别 | CPCI-S |
| URL标识 | 查看原文 |
| WOS记录号 | WOS:000455181503046 |
| 内容类型 | 会议论文 |
| URI标识 | http://www.corc.org.cn/handle/1471x/5925754 |
| 专题 | 北京航空航天大学 |
| 推荐引用方式 GB/T 7714 | Wang, Jianxiong,Li, Shuai,Song, Wenfeng,et al. LEARNING FROM WEAKLY-LABELED CLINICAL DATA FOR AUTOMATIC THYROID NODULE CLASSIFICATION IN ULTRASOUND IMAGES[C]. 见:2018 25TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP). 2018-01-01. |
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