Intelligent spectral algorithm for pigments visualization, classification and identification based on Raman spectra.

Raman spectroscopy is a molecular vibrational spectroscopic technique has developed rapidly in recent years, especially in rapid field detection. In this paper, we discuss the Raman spectral pretreatment method and classification algorithm by using nearly 300 pigments spectral data as an example. Here, more than 5 kinds of classification algorithms such as SVM, KNN, ANN and et al are used to sovle the problem of pigments visualization, classification and identification via Raman spectral, and the results show that most of the algorithms fit well, with an accuracy of 90%.

[Endoscopic mucosal resection in the treatment of 2609 cases with colorectal polyps].

Objective: To explore the safety and effectiveness of endoscopic mucosal resection (EMR) in the treatment of colorectal polyps.

Method: EMR was applied in the treatment of colorectal polyps.

Results: A total of 3578 polyps in 2609 patients were all completely resected except 2 cases and the integrated rate of samples was 99.