Latest AI and machine learning research in ophthalmology for healthcare professionals.
BACKGROUND: While expert optometrists tend to rely on a deep understanding of the disease and intuit...
Glaucoma is an irreversible, progressive, degenerative eye disorder arising because of increased int...
Glaucoma poses a growing health challenge projected to escalate in the coming decades. However, curr...
Diabetic retinopathy, a retinal disorder resulting from diabetes mellitus, is a prominent cause of v...
There is an open debate on the role of artificial networks to understand the visual brain. Internal ...
Precise segmentation of retinal vasculature is crucial for the early detection, diagnosis, and treat...
Accurately classifying optical coherence tomography (OCT) images is essential for diagnosing and tre...
Fundus imaging, a technique for recording retinal structural components and anomalies, is essential ...
OBJECTIVE: For studies using real-world data, accurately identifying patients with phenotypes of int...
INTRODUCTION: Advancements in machine learning (ML) algorithms that make predictions from data witho...
is a distinct subtype of characterized by heightened treatment challenges due to immune aging and ...
PURPOSE: Identification of the molecular subtypes in breast cancer allows to optimize treatment stra...
BACKGROUND: Perception-related errors comprise most diagnostic mistakes in radiology. To mitigate th...
In fundus images, precisely segmenting retinal blood vessels is important for diagnosing eye-related...
. Diabetic retinopathy (DR) is a serious diabetes complication that can lead to vision loss, making ...
Object detection plays a crucial role in various cutting-edge applications, such as autonomous vehic...
In image segmentation for medical image analysis, effective upsampling is crucial for recovering spa...
This paper systematically evaluates saliency methods as explainability tools for convolutional neura...
BACKGROUND: Food image recognition, a crucial step in computational gastronomy, has diverse applicat...
Vision-language models are pre-trained by aligning image-text pairs in a common space to deal with o...
The discrete cosine transform (DCT) has been widely used in computer vision tasks due to its ability...