Overview OpenCV courses on Coursera provide hands-on, career-ready skills for real-world computer vision ...

This is the MATLAB code for the implementation of neural pupil engineering FPM (NePE-FPM), an optimization framework for FPM reconstruction for off-axis areas. NePE-FPM engineers the pupil function ...

Abstract: Semi-supervised learning based on consistency learning offers significant promise for enhancing medical image segmentation. Current approaches use copy-paste as an effective data ...

In recent years, the rapid development of machine vision based on artificial intelligence (AI) has gained increasing attention in agriculture (Abbasi et al., 2022; Maraveas, 2024). This becomes ...

Abstract: Domain shift is a significant challenge in medical image segmentation, primarily due to variations in image acquisition protocols, modalities, etc. Domain shift often causes models trained ...

Semantic segmentation of medical images holds significant potential for enhancing diagnostic and surgical procedures. Radiology specialists can benefit from automated segmentation tools that ...

Brain tumor segmentation from Magnetic Resonance Images (MRI) presents significant challenges due to the complex nature of brain tumor tissues. This complexity poses a significant challenge in ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Nanoscale reduced volumes with novel properties can be produced from 2D materials like ...

MATLAB, short for Matrix Laboratory, is a high-level programming language and software environment developed by MathWorks. It excels in numerical computation, data analysis, and algorithm development.