Aim To implement a deep learning-based segmentation algorithm to quantify reticular pseudodrusen (RPD) and drusen volumes on optical coherence tomography (OCT) and investigate their association with ...

New research from FIU shows that some visual-language AI models have become particularly susceptible to image-based hacks.

A three-stage pipeline progressed from slit-lamp image training to smartphone optimization and public self-capture, incorporating human-computer interface refinements and preprocessing to improve real ...

AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...

Spread the love“`html Keras has emerged as one of the most popular deep learning libraries in recent years, notable for its simplicity and ease of use. Whether you’re a seasoned data scientist or a ...

Abstract: Deep learning (DL) has become a central approach for ship classification using synthetic aperture radar (SAR) imagery. This survey reviews 74 representative studies selected from 187 ...

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...

AI systems are far better than people at spotting deepfake images, but when it comes to deepfake videos, humans may still have the edge. That’s the surprising twist from a new study that pits people ...

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

Analytical technology was applied in the field of cultural heritage science in the 1980s 4,5,6. Since then, rapid technological development has inspired numerous studies that have primarily explored ...

Liver cancer, including hepatocellular carcinoma (HCC), is a leading cause of cancer-related deaths globally, emphasizing the need for accurate and early detection methods. LiverCompactNet classifies ...