Oral diseases have a significant impact on human health, often going unnoticed in their
early stages. Deep learning, a promising field in artificial intelligence, has shown remarkable …

Simple Summary Deep learning has succeeded greatly in medical image-based cancer
diagnosis. To help readers better understand the current research status and ideas, this …

The devastating outbreak of Coronavirus Disease (COVID-19) cases in early 2020 led the
world to face health crises. Subsequently, the exponential reproduction rate of COVID-19 …

Food quality and safety (FQS) are crucial aspects of everyone's life and health. With the
rapidly advancing field of analytical sciences, there is a growing demand for intuitive …

Automatic crack detection remains challenging due to factors such as irregular crack shapes
and sizes, uneven illumination, complex backgrounds, and image noise. Deep learning has …

Accurate detection of crack defects in infrastructure is crucial to ensure their safety and
extend their service life. However, the presence of complex backgrounds, various shapes …

The tumor in the brain is a serious disease that causes death in humans. Various imaging
modalities are utilized for identifying tumors, but the huge data produced by magnetic …

Simple Summary Automatic segmentation of organs and other regions of interest is a
promising approach for reducing the workload of doctors in radiotherapeutic planning, but it …

The precise segmentation of surgical instruments is the key link for the stable and
reasonable operation of surgical robots. However, accurate surgical instrument …

In healthcare, a growing number of physicians and support staff are striving to facilitate
personalized radiotherapy regimens for patients with prostate cancer. This is because …