Kidney Tumor Classification on CT images using Self-supervised Learning

E Özbay, FA Özbay, FS Gharehchopogh - Computers in Biology and …, 2024 - Elsevier
One of the most common diseases affecting society around the world is kidney tumor. The
risk of kidney disease increases due to reasons such as consumption of ready-made food …

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 …

Kidney tumor detection and classification based on deep learning approaches: a new dataset in CT scans

D Alzu'bi, M Abdullah, I Hmeidi… - Journal of …, 2022 - Wiley Online Library
Kidney tumor (KT) is one of the diseases that have affected our society and is the seventh
most common tumor in both men and women worldwide. The early detection of KT has …

[PDF][PDF] Enhanced transfer learning strategies for effective kidney tumor classification with CT imaging

M Majid, Y Gulzar, S Ayoub, F Khan… - Int J Adv Comput …, 2023 - pdfs.semanticscholar.org
Kidney tumours (KTs) rank seventh in global tumour prevalence among both males and
females, posing a significant health challenge worldwide. Early detection of KT plays a …

Machine learning of kidney tumors and diagnosis and classification by deep learning methods

F Türk, M Lüy, N Barışçı - International Journal of Engineering …, 2019 - dergipark.org.tr
Kidney cancer is difficult to diagnose and it can be quite complicated for physicians to
diagnose. In this study, while providing information about multiple sources to help people …

A Systematic Kidney Tumor Segmentation and Classification Framework using Adaptive and Attentive-based Deep Learning Networks with Improved Crayfish …

VV Patel, AR Yadav, P Jain, LR Cenkeramaddi - IEEE Access, 2024 - ieeexplore.ieee.org
Kidney illness constitutes a category of many serious persistent diseases that can affect an
individual. Early diagnosis of this condition is critical for effective therapy. Kidney tumors are …

Kidney image classification using transfer learning with convolutional neural network

Priyanka, D Kumar - International Journal of Computational …, 2022 - inderscienceonline.com
For abdominal studies, one of the most widely used diagnostic methods is ultrasound
imaging. Several chronic kidney diseases (CKDs) such as kidney stone, cystic kidney, and …

Recognizing pathology of renal tumor from macroscopic cross-section image by deep learning

Z Lin, W Yang, W Zhang, C Jiang, J Chu, J Yang… - BioMedical Engineering …, 2023 - Springer
Objectives This study aims to develop and evaluate the deep learning-based classification
model for recognizing the pathology of renal tumor from macroscopic cross-section image …

Kidney tumor segmentation and classification using deep neural network on ct images

MHK Mehedi, E Haque, SY Radin… - … on Digital Image …, 2022 - ieeexplore.ieee.org
Kidney disease is one of many severe chronic diseases that a person can have. Early
detection of this disease can be pivotal for proper treatment. Different neural networks have …

Deep machine learning histopathological image analysis for renal cancer detection

JC Koo, YC Hum, KW Lai, WS Yap… - Proceedings of the 8th …, 2022 - dl.acm.org
Renal cancer is one of the top causes of cancer-related deaths among men globally. Early
detection of renal cancer is crucial because it can significantly improve the probability of …