Early detection is crucial for lung cancer to prolong the patient's survival. Existing model
architectures used in such systems have shown promising results. However, they lack …

Objective Recognizing glomerular lesions is essential in diagnosing chronic kidney disease.
However, deep learning faces challenges due to the lesion heterogeneity, superposition …

In radiology, particularly in lung cancer diagnosis, diagnostic errors and cognitive biases
pose substantial challenges. These issues, including perceptual errors, interpretive …

Podocyte degenerative changes are common in various kidney diseases, and their accurate
identification is crucial for pathologists to diagnose and treat such conditions. However, this …

Mice and humans share many features of internal organs. Therefore, mice are often used in
experimental models of human diseases. Although this is commonplace in medicine, there …

Deep learning technologies developed at an exponential rate throughout the years. Starting
from Convolutional Neural Networks (CNNs) to Involutional Neural Networks (INNs), there …

Podocyte degenerative changes are common in various kidney diseases, and their accurate
identification is crucial for pathologists to diagnose and treat such conditions. However, this …