DIAGNOSIS OF KIDNEY MRI IMAGES USING DEEP LEARNING
Journal Title: International scientific journal Science and Innovation - Year 2023, Vol 2, Issue 3
Abstract
Ultrasound images can be used to diagnose kidney disease: identify systemic abnormalities such as cysts, stones, and infections, and provide information about kidney function. This article focuses on the selection of appropriate features for efficient classification of normal and abnormal kidney images. In diagnosing cardiac images, grayscale transformation has been used to classify abnormal images in the kidneys. A data set formed by a convolutional neural network was trained. 2 classes were created and on their basis a recognition result of 89% was achieved.The prevalence of chronic kidney disease (CKD) increases annually in the present scenario of research. One of the sources for further therapy is the CKD prediction where the Machine learning techniques become more important in medical diagnosis due to their high accuracy classification ability. In the recent past, the accuracy of classification algorithms depends on the proper use of algorithms for feature selection to reduce the data size. In this paper, Heterogeneous Modified Artifical Neural Network (HMANN) has been proposed for the early detection, segmentation, and diagnosis of chronic renal failure on the Internet of Medical Things (IoMT) platform. Furthermore, the proposed HMANN is classified as a Support Vector Machine and Multilayer Perceptron (MLP) with a Backpropagation (BP) algorithm. The proposed algorithm works based on an ultrasound image which is denoted as a preprocessing step and the region of kidney interest is segmented in the ultrasound image.
Authors and Affiliations
Iskandarova S. N. , Maxkamova D. A.
Keywords
Related Articles
- EP ID EP713864
- DOI 10.5281/zenodo.7698921
- Views 394
- Downloads 0
APPLICATION OF DIFFERENT POPULAR STYLES IN FURNITURE DESIGN
This article discusses popular historical and modern styles of furniture, as well as the material used and the description of the appearance of the furniture.
EPIDEMIOLOGY, ETIOPATHOGENESIS, DIAGNOSIS AND TREATMENT STRATEGY FOR OBESITY ASSOCIATED WITH TYPE 2 DIABETES MELLITUS (T2DM) (LITERATURE REVIEW)
Obesity is a chronic disease, heterogeneous in etiology and clinical manifestations, progressing in a natural course, characterized by excessive deposition of fat mass in the body [63]. Morbid obesity is a pathological c...
GENDER FEATURES OF THE POETRY OF A. AKHMATOVA AND KH. KHUDOIBERDIYEVA
This article discusses the worldview and life experience, the system of interdependence and proportions between women and men in the works of Anna Akhmatova and Khalima Khudoyberdieva.
QUALITY AND SAFETY OF MILK AND MILK PRODUCTS
A balanced diet is one of the most important factors determining the immune status of the body. The availability of products that meet the quality and safety requirements established in the diet is not only basic, but al...
ASPECTS OF THE USAGE OF METAPHORS IN THE LYRICS OF POET K. KARIMOV
We decided to dwell on the service and usage aspects of metaphors in the creation of an artistic image in Karakalpak lyrics, including the work of the poet K.Karimov in this article