Any kidney dimension and volume variation can be a remarkable indicator of kidney
disorders. Precise kidney segmentation in standard planes plays an undeniable role in …

Background Kidney tumors have become increasingly prevalent among adults and are now
considered one of the most common types of tumors. Accurate segmentation of kidney …

Abstract Background and Objective Epicardial Adipose Tissue (EAT) is regarded as an
independent risk factor for cardiovascular disease, and an increase in its volume is closely …

Purpose To automatically evaluate renal masses in CT images by using a cascade 3D U-
Net-and ResNet-based method to accurately segment and classify focal renal lesions …

Accurate segmentation of kidney tumors in CT images is very important in the diagnosis of
kidney cancer. Automatic semantic segmentation of the kidney tumor has shown promising …

Lung opacities are extremely important for physicians to monitor and can have irreversible
consequences for patients if misdiagnosed or confused with other findings. Therefore, long …

Tuberculosis affects various tissues, including the lungs, kidneys, and brain. According to
the medical report published by the World Health Organization (WHO) in 2020 …

Machine learning algorithms, a popular approach for disease prediction in recent years, can
also be used to predict lung cancer, which has fatal effects. A prediction model based on …

Both health and disease are closely correlated with lung and kidney functions. The
maintenance of blood pressure, the regulation of carbon dioxide and bicarbonate partial …

Son yıllarda hastalık tahmini için popüler bir yaklaşım olan makine öğrenmesi algoritmaları,
ölümcül etkileri olan akciğer kanserinin tahmininde de kullanılabilir. Bu çalışmada, akciğer …