Large language models (LLMs) have reached human-like proficiency in generating diverse
textual content, underscoring the necessity for effective fake text detection to avoid potential …

The burgeoning integration of 3D medical imaging into healthcare has led to a substantial
increase in the workload of medical professionals. To assist clinicians in their diagnostic …

In this study, we explore the efficiency of the Monte Carlo Tree Search (MCTS), a prominent
decision-making algorithm renowned for its effectiveness in complex decision environments …

With the continuous advancement of socio-economic levels and relentless innovation in
modern medical technologies, there's been a significant increase in the importance people …

As artificial intelligence (AI) theory becomes more sophisticated and its utilization spreads
across daily life, education, and professional settings, the adoption of AI for medical …

The prediction of disease risk factors can screen vulnerable groups for effective prevention
and treatment, so as to reduce their morbidity and mortality. Machine learning has a great …

Medical image segmentation (MIS) and 3D reconstruction are crucial research directions in
the field of medical imaging, which is of great significance for disease diagnosis, treatment …

Most of the existing wavelet image processing techniques are carried out in the form of
single-scale reconstruction and multiple iterations. However, processing high-quality fMRI …

In this paper, the optimization and performance evaluation of deep learning algorithm in
medical image processing are studied. Firstly, the paper introduces the importance and …

In recent years, deep learning technology has made remarkable progress in medical image
reconstruction and enhancement, and has become one of the research hotspots in the field …