Laser & Optoelectronics Progress, Volume. 60, Issue 4, 0417002(2023)
Optical Coherence Tomography-Based Identification for Papillary Carcinoma of Thyroid
Fig. 1. Flowchart of OCT images identification
Fig. 2. Typical OCT images and histological images of normal tissues and cancerous thyroid tissues. (a) (c) Enface OCT image of normal tissues; (b) histopathological image of normal tissues; (d) (f) enface OCT image of papillary carcinoma tissues of thyroid; (e) histopathological image of papillary carcinoma tissues of thyroid
Fig. 3. Scatter diagrams of principal components of the GLCM-GH-CSAC combination. (a) 2D scatter diagram of PC1 versus PC2; (b) 2D scatter diagram of PC1 versus PC3; (c) 2D scatter diagram of PC2 versus PC3; (d) 3D scatter diagram of PC1, PC2, and PC3
Fig. 4. Scatter diagrams of principal components of the GLCM-GH-LM combination. (a) 2D scatter diagram of PC1 versus PC2; (b) 2D scatter diagram of PC1 versus PC3; (c) 2D scatter diagram of PC2 versus PC3; (d) 3D scatter diagram of PC1, PC2, and PC3
Fig. 5. Optimization results of the grid search of SVM. (a) GLCM-GH-CSAC-LM; (b) GLCM-CSAC-LM; (c) GH-CSAC-LM; (d) GLCM-GH-LM
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Zengming Li, Chao Zhao, Xu Zhang, Weizheng Mao, Hang Zhao, Xiaofeng Shi, Jun Ma. Optical Coherence Tomography-Based Identification for Papillary Carcinoma of Thyroid[J]. Laser & Optoelectronics Progress, 2023, 60(4): 0417002
Category: Medical Optics and Biotechnology
Received: Feb. 23, 2022
Accepted: Mar. 14, 2022
Published Online: Feb. 14, 2023
The Author Email: Mao Weizheng (Greenwood8838@163.com), Ma Jun (majun@ouc.edu.cn)