EARLY DIAGNOSIS OF LUNG CANCER BASED ON BASIC RISK FACTORS USING NEURAL NETWORKS
Abstract. The incidence of cancer currently remains one of the most significant problems of modern society. Lung cancer is one of the most lethal forms of oncopathology, which is largely due to its detection in the late stages of the tumor process. The effectiveness of screening and early diagnosis programs has a direct impact on […]
APPLICATION OF TEXTURE ANALYSIS IN MEDICAL IMAGE CLASSIFICATION
Abstract. In modern medicine, the analysis of texture features of images plays an important role in the diagnosis of various diseases. This study is devoted to the methods of classifying texture features of burn injury images, which allow identifying informative characteristics and increasing the accuracy of diagnosis. Modern machine learning algorithms used for automated image […]
CREATION OF A CONCEPTUAL MODEL OF AN INTELLIGENT SYSTEM FOR DIAGNOSIS IN THE TREATMENT OF ONCOLOGICAL DISEASES
Absrtact. Today, one of the important problems of the modern world is the increase in the incidence of cancer. Various categories of the population are susceptible to the disease. In this regard, one of the urgent tasks is the early detection of oncological diseases and their prevention. Early detection and accurate diagnosis can increase the […]