Hyperspectral microscopic imaging of skin squamous cell carcinoma
文献类型:会议论文
作者 | Sheng, Zhenfei1; Zhang, Xiaofa1; Qiu, Zelong1; Zhang, Chunguang1,2; Wang, Hao1,2; Huang, Xi1; Tan, Zhiwei1; Qiu, Weijie1; Wang, Pengchong1,2; Liu, Wenyao3 |
出版日期 | 2019 |
会议日期 | 2019-03-17 |
会议地点 | Shanghai, China |
卷号 | 11170 |
DOI | 10.1117/12.2533591 |
英文摘要 | Acousto-optic tunable filter (AOTF) is a new type of light splitter with fast tuning, stable structure and portability. In this paper, a hyperspectral microscopic imaging system is constructed by combining non-collinear AOTF with optical inverted microscopy. The feasibility of data augmentation based on hyperspectral images for object detection of skin squamous cell carcinoma is studied. The hyperspectral images collected from unstained sections of skin squamous cell carcinoma are processed into dataset. At the same time, the mature open source object detection model is selected and trained for 20,000 times. Using the trained model to detect the lesion area of other unstained sections, it is found that the model trained by hyperspectral image dataset has a good ability to distinguish the non-lesion area, and there is no false detection. And the model has a relatively accurate detection ability for large lesion area, but the results of the model for small lesion area are not ideal. After analysis, it is considered that the number of samples can be increased firstly, especially in small lesions, and the same to the hyperspectral images. In addition, the model for lesion detection can be further optimized. By increasing the complexity of the model, the model can learn more details and information in the image during the training process. The preliminary results of the experiment prove that hyperspectral imaging is feasible for data augmentation of lesion object detection dataset. This paper provides a new method for the object detection data augmentation of skin squamous cell carcinoma. © 2019 SPIE. |
产权排序 | 2 |
会议录 | 14th National Conference on Laser Technology and Optoelectronics, LTO 2019 |
会议录出版者 | SPIE |
语种 | 英语 |
ISSN号 | 0277786X;1996756X |
ISBN号 | 9781510630468 |
源URL | [http://ir.opt.ac.cn/handle/181661/31617] |
专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
作者单位 | 1.Fujian Provincial Engineering Technology Research Center of Photoelectric Sensing Application, Key Laboratory of Optoelectronic Science and Technology for Medicine 2.CAS Key Laboratory of Spectral Imaging Technology, Chinese Academy of Sciences, Xi'an; 710119, China; 3.Fujian Normal University Hospital, Fuzhou; 350007, China; 4.Key Lab of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang; 110016, China; 5.Institute of Scientific and Technical Information of Liaoning Province, Shenyang; 110181, China |
推荐引用方式 GB/T 7714 | Sheng, Zhenfei,Zhang, Xiaofa,Qiu, Zelong,et al. Hyperspectral microscopic imaging of skin squamous cell carcinoma[C]. 见:. Shanghai, China. 2019-03-17. |
入库方式: OAI收割
来源:西安光学精密机械研究所
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