A fundamental and computationally challenging task in the development of dynamic
software is organizing the optimization of resource consumption to complete the work within …

Diabetic retinopathy is a serious complication needing prompt diagnosis and medication to
avert vision loss. Lesions caused by the condition are difficult to track because they are …

In the competitive area of sports, injuries not only jeopardize athletes' careers but also lead
to substantial setbacks for teams and organizations. Addressing this critical issue, our study …

Automated medical image analysis driven by artificial intelligence can revolutionize modern
healthcare in producing swift and precise diagnostics. Due to doctors' varying breadths of …

Caused by a shortage of oxygen-rich blood, cardiac artery disease occurs when coronary
arteries get blocked. Arterial occlusion decreases the heart's blood flow and hence its …

Cortical cataract, a common type of cataract, is particularly difficult to be diagnosed
automatically due to the complex features of the lesions. Recently, many methods based on …

Breast cancer remains a significant public health concern and a leading cause of female
mortality despite recent advances in healthcare. Experts agree that its early prognosis is a …

Due to their intense concealment and tremendous destructiveness during the course of their
lengthy growth, landslides are difficult to monitor. Landslide data gathering exhibits traits …

Cataracts, characterized by lens opacity, pose a significant global health concern, leading to
blurred vision and potential blindness. Timely detection is crucial, particularly in regions with …

Training high-quality deep learning models in the ophthalmic domain requires many good-
quality labeled training images. Unlike natural images, which are readily available, there is a …