Tang Chia-Pei, Hsieh Chen-Hung, Lin Tu-Liang
Division of Gastroenterology, Department of Internal Medicine, Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Chiayi City 62224, Taiwan.
School of Medicine, Tzu Chi University, Hualien City 97004, Taiwan.
Diagnostics (Basel). 2022 Apr 12;12(4):968. doi: 10.3390/diagnostics12040968.
Colonoscopy is the gold standard to detect colon polyps prematurely. Early detection, characterization and resection of polyps decrease colon cancer incidence. Colon polyp missing rate remains high despite novel methods development. Narrowed-band imaging (NBI) is one of the image enhance techniques used to boost polyp detection and characterization, which uses special filters to enhance the contrast of the mucosa surface and vascular pattern of the polyp. However, the single-button-activated system is not convenient for a full-time colonoscopy operation. We selected three methods to simulate the NBI system: Color Transfer with Mean Shift (CTMS), Multi-scale Retinex with Color Restoration (MSRCR), and Gamma and Sigmoid Conversions (GSC). The results show that the classification accuracy using the original images is the lowest. All color transfer methods outperform the original images approach. Our results verified that the color transfer has a positive impact on the polyp identification and classification task. Combined analysis results of the mAP and the accuracy show an excellent performance of the MSRCR method.
结肠镜检查是早期发现结肠息肉的金标准。息肉的早期发现、特征分析和切除可降低结肠癌的发病率。尽管开发了新方法，但结肠息肉漏检率仍然很高。窄带成像（NBI）是用于提高息肉检测和特征分析的图像增强技术之一，它使用特殊滤镜增强息肉黏膜表面和血管形态的对比度。然而，单键激活系统对于全结肠镜检查操作并不方便。我们选择了三种方法来模拟NBI系统：均值漂移颜色传递（CTMS）、带颜色恢复的多尺度视网膜算法（MSRCR）和伽马与西格玛变换（GSC）。结果表明，使用原始图像的分类准确率最低。所有颜色传递方法都优于原始图像方法。我们的结果证实，颜色传递对息肉识别和分类任务有积极影响。平均精度均值（mAP）和准确率的综合分析结果显示MSRCR方法表现出色。
