FPGA implementation of deep learning architecture for kidney cancer detection from histopathological images

S Lal, AK Chanchal, J Kini, GK Upadhyay - Multimedia Tools and …, 2024 - Springer
Kidney cancer is the most common type of cancer, and designing an automated system to
accurately classify the cancer grade is of paramount importance for a better prognosis of the …

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 …

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 …

[HTML][HTML] 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 cancer staging: Deep learning neural network based approach

N Hadjiyski - 2020 International Conference on e-Health and …, 2020 - ieeexplore.ieee.org
Kidney cancer is a common type of cancer that can be very deadly. Proper cancer staging is
critical for the correct selection of treatment for the affected patients. Stage 1 kidney cancer is …

Detection Analysis of Abnormality in Kidney using Deep Learning Techniques and its Optimization

VS Sri, GRJ Lakshmi - 2023 Second International Conference …, 2023 - ieeexplore.ieee.org
Chronic kidney disease (CKD) is a global health burden that affects approximately 10% of
the adult populationin the world. It is also recognized as the top 20 causes of death …

Kidney Cancer Detection using Deep Learning Models

K Rajkumar, RTS Ramoju, T Balelly… - … on Trends in …, 2023 - ieeexplore.ieee.org
This study presents two types of Kidney cancer detection one is with the help of images and
another one is with the help of blood test samples value. Kidney disease is condition caused …

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 …

[PDF][PDF] Kidney Tumor Detection using Attention based U-Net

P Rathnayaka, V Jayasundara, R Nawaratne… - 2019 - kits-challenge.org
The advancement of deep learning techniques has provoked the potential of using Medical
Image Analysis (MIA) for disease detection and prediction in numerous ways. This has been …

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 …