A new study finds that humans and AI spot different kinds of deepfakes — hinting at the need to team up to fight them.

Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...

Abstract: Imbalanced image classification faces critical challenges in balancing the quality and diversity of synthetic minority samples. This article proposes the improved estimation distribution ...

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.

Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current ...

You will be redirected to our submission process. Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...

Deep learning has become a transformative technology for modern weed detection, offering significant advantages over traditional machine vision in robustness, scalability, and recognition accuracy.

Deepfakes of Venezuela’s ousted president, Nicolás Maduro, flooded the internet after his capture, in a new collision of breaking news and artificial intelligence. By Stuart A. Thompson and Tiffany ...

Abstract: Accurate segmentation and classification of brain tumors from Magnetic Resonance Imaging (MRI) are critical for effective diagnosis and treatment planning. This paper proposes a novel ...