Using clinical images in DL systems may improve skin cancer detection by providing a more inclusive representation of real-world lesions. DenseNet models outperformed others in binary ...

Deep learning (DL) methods offer a promising solution by reconstructing raw, low-quality data into high-resolution images, helping to preserve diagnostic accuracy even under time constraints.

DGIST research team led by Yoonhee Lee and Gyogwon Koo enhances lung cancer diagnostic accuracy by combining exosome physical ...

The accumulation of misfolded proteins in the brain is central to the progression of neurodegenerative diseases like ...

Evaluating human gait and posture is a clinically effective method for the early diagnosis of diseases involving gait afflictions, such as adult spinal deformity (ASD).