This paper presents an optimization technique for the number of training epochs needed for
deep learning models. The proposed method eliminates the need for separate validation …

ABSTRACT Optical Coherence Tomography (OCT) is a widely used medical imaging
technique for diagnosing various eye conditions and for assessing the health of the retina …

Optical Coherence Tomography (OCT) is a non-invasive imaging technique that uses light
waves to capture cross-sectional images of patients' retina layers, allowing for the diagnosis …

With the advancement in modern imaging techniques like CT scan, MRI, PET scan etc., a
vast amount of data is generated every day in the field of healthcare. Big data contains …

Automated retinal disease detection and grading is one of the most researched areas in
medical image analysis. In recent years, Deep Learning models have attracted much …

Optical coherence tomography (OCT) uses interferometry to capture high-resolution cross-
sectional images of the retina to diagnose retinal diseases. Convolutional neural networks …

The accurate and early detection of retinal diseases is critical for effective treatment and
prevention of vision loss. Optical coherence tomography (OCT) imaging has become an …

Retinal abnormalities have emerged as a serious public health concern in recent years and
can manifest gradually and without warning. These diseases can affect any part of the retina …

Abstract Background and Objective Retinal diseases are becoming a major health problem
in recent years. Their early detection and ensuing treatment are essential to prevent visual …

Finetuning pre-trained deep neural networks (DNN) delicately designed for large-scale
natural images may not be suitable for medical images due to the intrinsic difference …