Different Types of Colorectal Carcinoma Characterization Using Stained and Non Stained Plates by Opto-Magnetic Spectroscopy

Abstract

According to the World Health Organization cancer is the leading cause of death worldwide and on the third place is the most common and dangerous colorectal cancer with the rate of 17.3/100,000 people. Therefore, it is necessary to find effective solutions to improve the quality and speed of diagnostic tools so that they can respond to the challenges of prevention strategies which are an integral part of the rapid diagnosis of a large number of patients. The objectives of the research conducted in this study (in vitro) are: (1) examining the possibilities of application of opto-magnetic imaging spectroscopy for characterization between different types of colon cancer, stained and non-stained plates, (2) method validation, (3) parameters determination for research in in vivo conditions, and (4) application in clinical trial to increase the efficiency and give more reliable diagnosis. In this paper we present Opto-magnetic imaging spectroscopy (OMIS) as a novel optical method for differentiation of different types of colon cancer, significant similarity between stained and non-stained plates based on light-tissue interaction. Results have showed that OMIS can make a difference between colorectal carcinoma and other types of colon cancer, as well as prove that plates staining can be avoided.

Deep Learning Algorithm for Cervical Cancer Detection Based on Images of Optomagnetic Spectra

“…that the considered sample won't be damaged during inspection, which is highly important in the case of biological sample diagnostics. Optomagnetic imaging spectroscopy has been introduced in previous researches as a tool for detection of different types of cancer such as cervical cancer, colorectal cancer, skin cancer and oral cancer [2][3][4][5][6]. Normal and cancerous cells and tissues were subjected to OMIS and based on their optomagnetic spectra classification into healthy/cancer group was made with various machine learning algorithms [2][3][4][5][6].…”

“…Optomagnetic imaging spectroscopy has been introduced in previous researches as a tool for detection of different types of cancer such as cervical cancer, colorectal cancer, skin cancer and oral cancer [2][3][4][5][6]. Normal and cancerous cells and tissues were subjected to OMIS and based on their optomagnetic spectra classification into healthy/cancer group was made with various machine learning algorithms [2][3][4][5][6]. Performance evaluation of the classification algorithms was made based on sensitivity, specificity and accuracy measures.…”