Recently, the field of generative models has seen a significant advancement with the
introduction of Diffusion Probabilistic Models (DPMs). The Denoising Diffusion Implicit Model …

Research on lung cancer automatic detection using deep learning algorithms has achieved
good results but, due to the complexity of tumor edge features and possible changes in …

Apple leaf diseases can seriously affect apple production and quality, and accurately
detecting them can improve the efficiency of disease monitoring. Owing to the complex …

Lung cancer stands as the leading cause of cancer related mortality worldwide. Precise and
automated identification of lung nodules through 3D Computed Tomography (CT) scans is …

Cross domain pulmonary nodule detection suffers from performance degradation due to
large shift of data distributions between the source and target domain. Besides, considering …

The accurate position detection of lung nodules is crucial in early chest computed
tomography (CT)-based lung cancer screening, which helps to improve the survival rate of …

Lung cancer is a leading cause of death worldwide, making early and accurate diagnosis
essential for improving patient outcomes. Recently, deep learning (DL) has proven to be a …

Alzheimer's disease (AD) stands as a prominent age-related disorder with significant global
impact. Utilizing computer-aided diagnosis aids in the timely identification of mild cognitive …

Numerous people die from lung cancer every year, making it a serious public health issue.
Oftentimes, the symptoms of lung cancer manifest only at a later stage, when it is difficult to …

Lung cancer is highly lethal, emphasizing the critical need for early detection. However,
identifying lung nodules poses significant challenges for radiologists, who rely heavily on …