The purpose of this research was to provide a “systematic literature review” of knee bone
reports that are obtained by MRI, CT scans, and X-rays by using deep learning and machine …

High-resolution microscopy images of tissue specimens provide detailed information about
the morphology of normal and diseased tissue. Image analysis of tissue morphology can …

There are several breast cancer datasets for building Computer Aided Diagnosis systems
(CADs) using either deep learning or traditional models. However, most of these datasets …

Analysis and classification of lung diseases using X-ray images is a primary step in the
procedure of pneumonia diagnosis, especially in a critical period as pandemic of COVID-19 …

Background Rosacea is one of the most common cutaneous disorder characterized
primarily by facial flushing, erythema, papules, pustules, telangiectases, and nasal swelling …

Recently, research and developments in the field of computerized screening for early
detection of pathological changes in the lungs and extrapulmonary organs have been …

Computer-aided skin lesion classification has been gaining attention in dermoscopy and
skin cancer diagnosis, as early detection reduces the complexity of the treatment process …

C omputer Vision (CV) is an Artificial Intelligence (AI) field that replicate the human eyes and
brain's ability in perceiving images and understanding them. Deep learning (DL) models …

Deep Learning, a subset of machine learning, has shown great ability in supervised medical
image classification tasks. Although there are significant advantages, DL models have low …