[HTML][HTML] Transforming urinary stone disease management by artificial intelligence-based methods: a comprehensive review

A Anastasiadis, A Koudonas, G Langas… - Asian Journal of …, 2023 - Elsevier
Objective To provide a comprehensive review on the existing research and evidence
regarding artificial intelligence (AI) applications in the assessment and management of …

Analysis of kidney ultrasound images using deep learning and machine learning techniques: A review

M George, HB Anita - … Computing and Social Networking: Proceedings of …, 2022 - Springer
Ultrasonography is the most accepted and widely used imaging technique due to its non-
invasive and radiation-free nature. The heterogeneous structure of kidney makes the …

Automatic kidney lesion detection for CT images using morphological cascade convolutional neural networks

H Zhang, Y Chen, Y Song, Z Xiong, Y Yang… - IEEE …, 2019 - ieeexplore.ieee.org
The CT scan image is one of the most useful tools for diagnosing and locating lesions in the
kidney. It can provide precise information about the location and size of lesions in many …

Detection of renal calculi in ultrasound image using meta-heuristic support vector machine

S Selvarani, P Rajendran - Journal of medical systems, 2019 - Springer
Typically, the acquired renal ultrasound image includes a course of speckle noises. This
paper primarily investigates an approach for the detection of renal calculi by processing …

Medical image denoising using multi-resolution transforms

JRF Raj, K Vijayalakshmi, SK Priya - Measurement, 2019 - Elsevier
Medical Imaging techniques are most commonly used by radiologists for visualizing detailed
internal structure and function of the body. During such imaging process the techniques …

[PDF][PDF] Detection of kidney stones in ultrasound images using median filter compared with rank filter

A Rohith, S Premkumar - REVISTA GEINTEC-GESTAO …, 2021 - researchgate.net
Aim: To detect the kidney stones in ultrasound images using median filters to improve the
detection rate in terms of accuracy and sensitivity. Materials and Methods: The accuracy and …

[HTML][HTML] An efficient machine learning approach to nephrology through iris recognition

CD Divya, HL Gururaj, R Rohan… - Discover Artificial …, 2021 - Springer
Iridology is a technique in science used to analyze color, patterns, and various other
properties of the iris to assess an individual's general health. Few regions in the iris are …

Renal Calculi Detection using Image Processing

R Cyriac, D Pamela, P Manimegalai… - … on Advances in …, 2022 - ieeexplore.ieee.org
The objective of this research is to evaluate several image analysis methodologies in order
to improve the image segmentation methods. Kidney stones are a hard build-up of salt and …

Using a novel algorithm in ultrasound images to detect renal stones

S Eskandari, S Meshgini, A Farzamnia - Proceedings of the 12th National …, 2022 - Springer
Medical ultrasound is utilized as the primary method for the detection of kidney stones.
Ultrasound imaging is often more popular than other imaging techniques because it is …

[PDF][PDF] Modeling of Kidney Stones from Ultrasound Images based on Hybrid Regional Segmentation with Active Contours.

D Vilimek, J Kubicek, A Kloudova… - Acta Mechanica …, 2019 - researchgate.net
Kidney stones (nephrolithiasis) are among the most common kidney diseases. They are
solid stones that arise from minerals dissolved in urine. The treatment of kidney stones …