Designing of Enhanced Deep Neural Network Model for Analysis and Identification of Kidney Stone, Cyst, and Tumour
Authors:
- Suriya SundaramoorthySSSuriya Sundaramoorthy
- K. JayachandruKJK. Jayachandru
- 22 June 2023
- journal article
- review article
- Published by Springer Nature in SN Computer Science
- Vol. 4 (5) , 1-7
Abstract
No abstract availableKeywords
This publication has 13 references indexed in Scilit:
- Recent advances in medical image processing for the evaluation of chronic kidney diseaseMedical Image Analysis, 2021
- Low-dose whole-body CT using deep learning image reconstruction: image quality and lesion detectionBritish Journal of Radiology, 2021
- Automated segmentation of kidney and renal mass and automated detection of renal mass in CT urography using 3D U-Net-based deep convolutional neural networkEuropean Radiology, 2021
- An ensemble of deep neural networks for kidney ultrasound image classificationComputer Methods and Programs in Biomedicine, 2020
- Detection and diagnosis of chronic kidney disease using deep learning-based heterogeneous modified artificial neural networkFuture Generation Computer Systems, 2020
- Automatic semantic segmentation of kidney cysts in MR images of patients affected by autosomal-dominant polycystic kidney diseaseAbdominal Radiology, 2020
- Analysis and Identification of Renal Calculi in Computed Tomography Images2019
- An image preprocessing method for kidney stone segmentation in CT scan images2018
- Fully automatic detection of renal cysts in abdominal CT scansInternational Journal of Computer Assisted Radiology and Surgery, 2018
- Analysis and identification of kidney stone using Kth nearest neighbour (KNN) and support vector machine (SVM) classification techniquesPattern Recognition and Image Analysis, 2017