Accurate automatic polyp segmentation in colonoscopy is crucial for the prompt prevention
of colorectal cancer. However, the heterogeneous nature of polyps and differences in …

CNN-based object detection models that strike a balance between performance and speed
have been gradually used in polyp detection tasks. Nevertheless, accurately locating polyps …

Background: Artificial intelligence (AI) has great potential to improve endoscopic recognition
of early stage colorectal carcinoma (CRC). This scoping review aims to summarize current …

Accurate and reliable medical image segmentation is essential for computer-aided
diagnosis and formulating appropriate treatment plans. However, real-world challenges …

Here, we introduce an optical computing method using free-space optics and a 4f system to
enhance and integrate data processing, encryption, and machine learning. We propose a …

Here, we explores the forefront of optical dynamic real-time signal processing with the
introduction of a Reconfigurable Complex Convolution Module (RCCM), leveraging …