Radiology imaging scans for early diagnosis of kidney tumors: a review of data analytics-based machine learning and deep learning approaches

M Gharaibeh, D Alzu'bi, M Abdullah, I Hmeidi… - Big Data and Cognitive …, 2022 - mdpi.com
Plenty of disease types exist in world communities that can be explained by humans'
lifestyles or the economic, social, genetic, and other factors of the country of residence …

A review on detection of kidney disease using machine learning and deep learning techniques

VS Sri, PS Kumar, V Rajendran - Application of Deep Learning …, 2022 - taylorfrancis.com
The incredible accomplishment of deep learning models at image identification
responsibilities in modern existence traverse through an occasion of significantly improved …

Development of Extraction Technique for Diagnosing Kidney Abnormalities by Using Ultrasound Images

RH Zain, S Defit - 2024 8th International Conference on …, 2024 - ieeexplore.ieee.org
Kidney disease is a health problem consisting of kidney failure, where it is caused by a
complication of decreased kidney function. To prevent serious complications, kidney …

Comparative Analysis of Deep Learning And Machine Learning Analysis For Kidney Tumor Analysis

A Yazhini, MK Devi, M Anitha… - … on Circuit Power …, 2024 - ieeexplore.ieee.org
In order to lower death risks, provide the most effective course of treatment, and improve
community healthcare, the majority of recent research has concentrated on examining …

Adaptive Threshold Selection of Anisotropic Diffusion Filters Using Dissimilarity Transform

M Kılıçaslan - International Journal of Engineering Research and …, 2023 - dergipark.org.tr
One of the most basic steps of image processing is denoising. Diffusion filters have been
used for denoising for many years, as they protect the edges. The common problem of …

American Joint Committee on Cancer staging of lung and renal cancers using a recurrent deep neural network model

D Moitra - Artificial Intelligence in Cancer Diagnosis and …, 2022 - iopscience.iop.org
In this study, a new deep learning model has been developed by combining convolutional
and recurrent layers. Its aim is to automate the overall American Joint Committee on Cancer …

Comparison of Unet3D models for kidney tumor segmentation

F Turk, M Luy, N Barisci - 2020 - preprints.org
Worldwide, hundreds of thousands of people are diagnosed with kidney cancer and this
disease is more common in developed and industrialized countries. Previously, kidney …

Veri Seyrekliği ve Ölçeklenebilirlik Problemlerini Gidermek İçin Derin Otomatik Kodlayıcı Tabanlı Yeni Bir Tavsiye Sistemi Modeli

SS Ünaldı - 2022 - search.proquest.com
Tavsiye sistemleri kullanıcının karar vermesini kolaylaştırmak amacıyla oluşturulan
yapılardır. Bu yapıda kullanıcının geçmiş etkinlikleri, benzer kullanıcılar veya benzer öğeler …