Because retinal hemorrhage is one of the earliest symptoms of diabetic retinopathy, its
accurate identification is essential for early diagnosis. One of the major obstacles …

In the area of ophthalmology, glaucoma affects an increasing number of people. It is a major
cause of blindness. Early detection avoids severe ocular complications such as glaucoma, …

Diabetic retinopathy (DR) is the most important complication of diabetes. Early diagnosis by
performing retinal image analysis helps avoid visual loss or blindness. A computer-aided …

Purpose Glaucoma damages the optic nerve and causes permanent visual impairment. It
cannot be recovered, so it is important to distinguish the disease over time. Fortunately, this is …

Breast cancer causes serious public health problems; it is the most common cancer among
women worldwide. Screening and early detection of signs of breast cancer increase the …

Cancer tissues in mammography images exhibit abnormal regions; it is of great clinical
importance to label a mammography image as having cancerous regions or not, perform the …

This paper proposes a binary classification method for high-resolution retinal images by
using convolutional neural networks. The convolutional neural network is first, formed to …

This paper presents a method for segment and detects the boundary of different breast tissue
regions in mammograms by using dynamic Kmeans clustering algorithm after evaluate it …

This paper presents a method for the detection of the regions of interest's (ROIs) in mammograms
by using dynamic k-means clustering algorithm. In this approach, a method has been …

Classification of stages of diabetic retinopathy (DR) is considered a key step in the assessment
and management of diabetic retinopathy. Due to damage caused by high blood sugar in …