It is crucial to develop a smart analytics system capable of accurately diagnosing diabetic
retinopathy. This research uses a new deep transfer network framework to diagnose …

Digital medical images have become a vital resource that supports decision-making and
treatment procedures in healthcare facilities. The medical image consumes large sizes of …

Fundus is an image of the inner eye surface in the form of a colored image. This image has a
lot of pixel values because it consists of three basic color components. The three colors are …

The most common factor contributing to visual abnormalities that result in blindness is
known as diabetic retinopathy (DR). Retinal fundus scanning, a non-invasive method that is …

Region of interest in the world of medical images, there is a region in each image that
contains unique features that distinguish each image from the other or distinguish one group …

Rice is a staple food in most of the Asian countries. It is an important crop, and over half of
the world population relies on it for food. However, paddy leaf disease can affect both the …

This paper aims to use a new technique of computed tomography (CT) scan image
processing to correlate the image analysis with sinonasal symptoms. A retrospective cross …

Eyes are vital part of the body which can be affected by many diseases that lead to vision
loss. Glaucoma is one such eye disease that may cause vision loss. There are multiple …

Abstract Analysis of images with deep learning and machine learning has recently show
more accuracy in medical image processing. The paper review the major machine learning …

Remote ophthalmic screening to check for diabetic retinopathy (DR) is possible with the help
of portable imaging sensors and cloud networks technologies. This has been possible with …