Identification of gastric cancer types based on hyperspectral imaging technology

Abstract

AbtractGastric cancer is becoming the second biggest cause of death from cancer. Treatment and prognosis of different types of gastric cancer vary greatly. However, the routine pathological examination is limited to the tissue level and is easily affected by subjective factors. In our study, we examined gastric mucosal samples from 50 normal tissue and 90 cancer tissues. Hyperspectral imaging technology was used to obtain spectralinformation. A two‐classification model for normal tissue and cancer tissue identification and a four‐classification model for cancer type identification are constructed based on the improved deep residual network(IDRN). The accuracy of the two‐classification model and four‐classification model are 0.947 and 0.965. Hyperspectral imaging technology was used to extract molecular information to realize real‐time diagnosis and accurate typing. The results show that hyperspectral imaging technique has good effect on diagnosis and type differentiation of gastric cancer, which is expected to be used in auxiliary diagnosis and treatment.This article is protected by copyright. All rights reserved.

A Calculation Method for the Hyperspectral Imaging of Targets Utilizing a Ray-Tracing Algorithm

“…L sky = 2π dL sky (13) Assuming the incident light source is sunlight, the spectral scattering brightness of a single surface element at wavelength λ is represented by Equation ( 14).…”

“…In agriculture, hyperspectral technology can be used for plant classification [9] and identification [10], crop yield prediction [11], and plant disease analysis [12]. In the medical field, hyperspectral technology has become an auxiliary tool for disease diagnosis [13].…”