One of the most common and deadly diseases in the world is lung cancer. Only early
identification of lung cancer can increase a patient's probability of survival. A frequently used …

Background and objective Deep learning, a novel approach and subset of machine
learning, has drawn a growing amount of attention from computer vision researchers in …

Coronavirus is still the leading cause of death worldwide. There are a set number of COVID-
19 test units accessible in emergency clinics because of the expanding cases daily …

Recently, researchers, specialists, and companies around the world are rolling out deep
learning and image processing-based systems that can fastly process hundreds of X-Ray …

Deep learning has emerged as a powerful tool for medical image analysis and diagnosis,
demonstrating high performance on tasks such as cancer detection. This literature review …

During the recent years, diabetic retinopathy (DR) has been one of the most threatening
complications of diabetes that leads to permanent blindness. Further, DR mutilates the …

Deep learning architectures have brought about new heights in computer vision, with the
most common approach being the Convolutional Neural Network (CNN). Through CNN …

Chest imaging diagnostics is crucial in the medical area due to many serious lung diseases
like cancers and nodules and particularly with the current pandemic of Covid-19. Machine …

In view of the low diagnostic accuracy of the current classification methods of benign and
malignant pulmonary nodules, this paper proposes a 3D segmentation attention network …

Detection of malignant lung nodules at an early stage may allow for clinical interventions
that increase the survival rate of lung cancer patients. Using hybrid deep learning …