Over the past few years, the computer vision domain has evolved and made a revolutionary
transition from human-engineered features to automated features to address challenging …

Manual detection of eye diseases using retina Optical Coherence Tomography (OCT)
images by Ophthalmologists is time consuming, prone to errors and tedious. Previous …

Optical coherence tomography (OCT) is a non-invasive imaging technique with extensive
clinical applications in ophthalmology. OCT enables the visualization of the retinal layers …

Central Serous Retinopathy (CSR) or Central Serous Chorioretinopathy (CSC) is a
significant disease that causes blindness and vision loss among millions of people …

With non-invasive and high-resolution properties, optical coherence tomography (OCT) has
been widely used as a retinal imaging modality for the effective diagnosis of ophthalmic …

Optical coherence tomography (OCT) is an emerging imaging technique for diagnosing
ophthalmic diseases and the visual analysis of retinal structure changes, such as exudates …

Skin lesion segmentation is an important process in skin diagnosis, but still a challenging
problem due to the variety of shapes, colours, and boundaries of melanoma. In this paper …

Background: The hippocampus plays a crucial role in memory and is one of the first
structures affected by Alzheimer's disease. Postmortem MRI offers a way to quantify the …

This paper analyzes the quantitative assessment model of the swimming training effect
based on the deep neural network by constructing a deep neural network model and …

Recognizing and analyzing medical images is crucial for disease early detection and
treatment planning with appropriate treatment options based on the patient's individual …