Tsai Tsung-Jung, Mukundan Arvind, Chi Yu-Sheng, Tsao Yu-Ming, Wang Yao-Kuang, Chen Tsung-Hsien, Wu I-Chen, Huang Chien-Wei, Wang Hsiang-Chen
Division of Gastroenterology and Hepatology, Department of Internal Medicine, Ditmanson Medical Foundation Chiayi Christian Hospital, Chia Yi City 60002, Taiwan.
Department of Mechanical Engineering, Advanced Institute of Manufacturing with High Tech Innovations (AIM-HI) and Center for Innovative Research on Aging Society (CIRAS), National Chung Cheng University, 168, University Rd., Min Hsiung, Chia Yi City 62102, Taiwan.
Cancers (Basel). 2022 Sep 1;14(17):4292. doi: 10.3390/cancers14174292.
In this study, the combination of hyperspectral imaging (HSI) technology and band selection was coupled with color reproduction. The white-light images (WLIs) were simulated as narrow-band endoscopic images (NBIs). As a result, the blood vessel features in the endoscopic image became more noticeable, and the prediction performance was improved. In addition, a single-shot multi-box detector model for predicting the stage and location of esophageal cancer was developed to evaluate the results. A total of 1780 esophageal cancer images, including 845 WLIs and 935 NBIs, were used in this study. The images were divided into three stages based on the pathological features of esophageal cancer: normal, dysplasia, and squamous cell carcinoma. The results showed that the mean average precision (mAP) reached 80% in WLIs, 85% in NBIs, and 84% in HSI images. This study's results showed that HSI has more spectral features than white-light imagery, and it improves accuracy by about 5% and matches the results of NBI predictions.
在本研究中，高光谱成像（HSI）技术与波段选择相结合，并与色彩再现相结合。白光图像（WLI）被模拟为窄带内镜图像（NBI）。结果，内镜图像中的血管特征变得更加明显，预测性能得到提高。此外，还开发了一种用于预测食管癌分期和位置的单发多框检测器模型来评估结果。本研究共使用了1780张食管癌图像，其中包括845张WLI和935张NBI。根据食管癌的病理特征，将图像分为三个阶段：正常、发育异常和鳞状细胞癌。结果显示，WLI的平均精度均值（mAP）达到80%，NBI为85%，HSI图像为84%。本研究结果表明，HSI比白光图像具有更多的光谱特征，其准确率提高了约5%，与NBI预测结果相当。
