A deep learning model using retinal images obtained during retinopathy of prematurity (ROP) screening may be used to predict diagnosis of bronchopulmonary dysplasia (BPD) and pulmonary hypertension ...
Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...
Elon Musk's AI chatbot Grok generated an estimated three million sexualized images of women and children in a matter of days, ...
Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...
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 ...
Abstract: Deep learning methods have shown promising results in various hyperspectral image (HSI) analysis tasks. Despite these advancements, existing models still struggle to accurately identify fine ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results