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Deep federated machine learning-based optimization methods for liver tumor diagnosis: A review
Computer-aided liver diagnosis helps doctors accurately identify liver abnormalities and
reduce the risk of liver surgery. Early diagnosis and detection of liver lesions depend mainly …
reduce the risk of liver surgery. Early diagnosis and detection of liver lesions depend mainly …
A comprehensive review of artificial intelligence approaches in kidney cancer medical images diagnosis, datasets, challenges and issues and future directions
Various diseases are prevalent in global populations and can be attributed to human
lifestyles, economic conditions, social factors, genetics, and other country-specific factors …
lifestyles, economic conditions, social factors, genetics, and other country-specific factors …
Kidney cancer diagnosis and surgery selection by machine learning from CT scans combined with clinical metadata
Simple Summary Diagnosis is the most important step in treating and managing kidney
cancer, requiring accurate identification, localization, and classification of tumor regions. The …
cancer, requiring accurate identification, localization, and classification of tumor regions. The …
Auto-detection of the coronavirus disease by using deep convolutional neural networks and X-ray photographs
The most widely used method for detecting Coronavirus Disease 2019 (COVID-19) is real-
time polymerase chain reaction. However, this method has several drawbacks, including …
time polymerase chain reaction. However, this method has several drawbacks, including …
Kidney tumor classification on ct images using self-supervised learning
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 …
risk of kidney disease increases due to reasons such as consumption of ready-made food …
A multi-class deep learning model for early lung cancer and chronic kidney disease detection using computed tomography images
Lung cancer is a fatal disease caused by an abnormal proliferation of cells in the lungs.
Similarly, chronic kidney disorders affect people worldwide and can lead to renal failure and …
Similarly, chronic kidney disorders affect people worldwide and can lead to renal failure and …
Digital twin of renal system with CT-radiography for the early diagnosis of chronic kidney diseases
N Sasikaladevi, A Revathi - Biomedical Signal Processing and Control, 2024 - Elsevier
Kidney failure, also called as end-stage renal disease is the final stage of chronic kidney
disease (CKD). Kidney failure cannot be revered and is the life-threatening if left untreated …
disease (CKD). Kidney failure cannot be revered and is the life-threatening if left untreated …
Automating cancer diagnosis using advanced deep learning techniques for multi-cancer image classification
Cancer detection poses a significant challenge for researchers and clinical experts due to its
status as the leading cause of global mortality. Early detection is crucial, but traditional …
status as the leading cause of global mortality. Early detection is crucial, but traditional …
Detection of renal cell hydronephrosis in ultrasound kidney images: a study on the efficacy of deep convolutional neural networks
In the realm of medical imaging, the early detection of kidney issues, particularly renal cell
hydronephrosis, holds immense importance. Traditionally, the identification of such …
hydronephrosis, holds immense importance. Traditionally, the identification of such …
[HTML][HTML] An optimized fusion of deep learning models for kidney stone detection from CT images
Accurate diagnosis of kidney disease is crucial, as it is a significant health concern that
demands precise identification for effective and appropriate treatment. Deep learning …
demands precise identification for effective and appropriate treatment. Deep learning …