Editorial

Medical images are located and retrieved by convolution neural networks. It extracts powerful picture features for label description using deep learning technology. It then sends the relevant parameters to execute tag matching and identify the photos as queries. A variety of techniques, including statistical analysis, pre trained models, and mathematical ...read more

Photon Counting Computed Tomography (CT) represents a transformative advancement in medical imaging technology, offering unprecedented levels of precision and diagnostic capability. This special issue will explore the latest innovations and applications of photon counting CT, highlighting its advantages over traditional energy-integrating detectors. The scope includes an in-depth examination of its ...read more

The accurate predication from medical data (signals and images) analytics will be achieved through the use of cutting-edge AI tools for tailoring medical treatment to each patient. When the agents are done analysing the user's health data, the user can consult with the agents to receive advice and the most ...read more

This special issue will highlight cutting-edge advances in medical imaging that specifically target diseases disproportionately or exclusively affecting women. Despite significant technological progress, many conditions such as breast cancer, ovarian cancer, endometriosis, and pregnancy-related complications remain underdiagnosed or misdiagnosed due to gender-blind imaging approaches and limited availability of sex-specific biomarkers. ...read more