Recently, contrastive language image pretraining (CLIP) has attracted widespread attention because of its capacity to generalize knowledge across different domains or contexts. When fine-tuned for DG ...

The review delves into AI's transformative potential in cervical cancer screening, focusing on its role in medical image recognition to identify abnormal cytology and neoplastic lesions.

This article proposes a diffusion-color-guided framework (DCGF) to enhance the quality of underwater images and address color deviations caused by randomness in general diffusion models during ...

Panel A shows worldwide age-standardized incidence and mortality rates for cervical cancer in 2022. Data are from the GLOBOCAN database and were collated by the International Agency for Research ...