The realm of medical imaging is a critical frontier in precision diagnostics, where the clarity
of the image is paramount. Despite advancements in imaging technology, noise remains a …

In the advancement of medical image super-resolution (SR), the Deep Residual Feature
Distillation Channel Attention Network (DRFDCAN) marks a significant step forward. This …

Facial palsy evaluation (FPE) aims to assess facial palsy severity of patients, which plays a
vital role in facial functional treatment and rehabilitation. The traditional manners of FPE are …

Women tend to face many problems throughout their lives; cervical cancer is one of the most
dangerous diseases that they can face, and it has many negative consequences. Regular …

Automated solutions for medical diagnosis based on computer vision form an emerging field
of science aiming to enhance diagnosis and early disease detection. The detection and …

Accurately assessing suicide risk is a critical concern in mental health care. Traditional
methods, which often rely on self-reporting and clinical interviews, are limited by their …

Ischemic stroke lesion segmentation in MRI images represents significant challenges,
particularly due to class imbalance between foreground and background pixels. Several …

Anomaly detection in textile images poses significant challenges due to the scarcity of
defective samples and the complex nature of textile textures. This study presents a novel …

With the rapid development of intelligent manufacturing and electronic information
technology, integrated circuits play a vital role in high-end chips. The semiconductor chip …

Oil spills pose significant threats to marine and coastal ecosystems, biodiversity and local
economies, necessitating efficient and accurate detection systems. Traditional detection …