IEEE

Deep-EFNet: An Optimized EfficientNetB0 Architecture With Dual Regularization for Scalable Multi-Class Brain Tumor Classification in MRI

Abstract: Brain tumor classification from MRI images plays a crucial role in early diagnosis and treatment planning. While deep learning approaches have shown promise in this domain, achieving high ...
Ophthalmology Advisor

With Retinal Imaging, A Deep Learning Model Can Predict Diabetic Kidney Disease Risk, Progression

Researchers developed a retinal image-based system to predict the 5-year risk of diabetic kidney disease and the risk of ...
IEEE

Integration of Deep Learning Architectures With GRU for Automated Leukemia Detection in Peripheral Blood Smear Images

Abstract: This paper investigates the integration of deep learning (DL) architectures with Recurrent Neural Networks (RNNs) for automated leukemia detection in Peripheral Blood Smear (PBS) images.
news.gov.hk

Cultivating AI innovation on campus

Spearheaded by the Digital Policy Office, the IT Innovation Lab in Secondary Schools programme and the Knowing More About IT ...
Frontiers

Interpretable vision mamba for SAR images classification

Deep learning techniques have been successfully applied to object classification in Synthetic Aperture Radar (SAR) images, achieving remarkable performance. However, the current Transformer ...
Morning Overview on MSN

17-year-old builds AI tool to speed malaria and blood-disease diagnosis

Somewhere, a 17-year-old has built an artificial intelligence tool designed to identify malaria and other blood diseases from ...