2 papers
eess.IV2025
Advancements in Real-Time Oncology Diagnosis: Harnessing AI and Image Fusion Techniques
Leila Bagheriye, Johan Kwisthout
Real-time computer-aided diagnosis using artificial intelligence (AI), with images, can help oncologists diagnose cancer with high accuracy and in an early phase. We reviewed real-…
eess.IV2024
Generative artificial intelligence in ophthalmology: multimodal retinal images for the diagnosis of Alzheimer's disease with convolutional neural networks
I. R. Slootweg, M. Thach, K. R. Curro-Tafili +7
Background/Aim. This study aims to predict Amyloid Positron Emission Tomography (AmyloidPET) status with multimodal retinal imaging and convolutional neural networks (CNNs) and to…