Tech Xplore

One tiny diode could shrink image sensors by adding memory and processing

P-n diodes are two-terminal devices that consist of two types of semiconductor materials (i.e., a p-type and an n-type ...
EurekAlert!

Artificial intelligence for organelle segmentation in live-cell imaging

Recently, Assoc. Prof. Bo Peng (Northwestern Polytechnical University) and Prof. Lin Li (Xiamen University), et ...
Frontiers

Traditional machine learning in biomedical image analysis: before you go too deep

Traditional machine learning (TML) algorithms remain indispensable tools for the analysis of biomedical images, offering significant advantages in multimodal data integration, interpretability, ...
IEEE

Adaptive Random Testing of Deep Learning Systems Using Image Hashing

Abstract: In recent years, deep learning (DL) systems have been applied in many areas, including image processing and autonomous driving. Software testing is an important way to ensure the quality of ...
EurekAlert!

Stress-testing AI vision systems: Rethinking how adversarial images are generated

IFAP generates adversarial perturbations using model gradients and then shapes them in the discrete cosine transform (DCT) domain. Unlike existing frequency-aware methods that apply a fixed frequency ...
IEEE

Image Denoising Based on Multi-Stage Cascade Complementary Learning

Abstract: Image denoising is a key component of digital image processing systems. The latest advances in deep learning have led to significant improvements in denoising techniques, particularly ...
C&EN

Leveraging Deep Learning to Address Diagnostic Challenges with Insufficient Image Data

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In recent AI-driven disease diagnosis, the success of models has depended mainly on ...