An alternative to human expert-performed manual identification is automatic detection of
epilepsy using electroencephalogram (EEG) data. Automatic epilepsy detection from EEG …

This paper presents new models for segmentation of 2D and 3D Scanning-Transmission
Electron Microscope images based on the ordered median function. The main advantage of …

Surveillance, object tracking, and autonomous vehicles rely on background dynamic scene
detection and analysis. This paper compares the Naive Bayes classifier and CNNs for …

The fact that melanoma is defined as an incurable illness in its advanced stages highlights
the criticality of early detection and treatment. Various procedures and equipment have been …

One of the main leading causes of blindness in the industrialized regions is diabetic
retinopathy (DR), an eye condition. An automatic method for early diagnosis and treatment …

The leading cause of death in the world is lung cancer. Routine screening is important
because it improves outcomes, especially for some risk populations. In addition to low-dose …

The tremendous growth in Information Communication Technologies (ICT) and the Internet
of Things (IoT) propose new application domains like remote patient monitoring. Patient …

Digital forensics science places a significant emphasis on the detection of objects as one of
the most vital areas of study. Several industries and institutions may benefit from the object …

Patients with diabetes are more susceptible to developing diabetic retinopathy. Blindness
can be caused by a disease and can be saved if early diabetic retinopathy detection is …

The liver is accessible under the stomach and connects from right to left upper piece of the
circumference. The liver is an organ which has colorful scores in respects to conveying …