INTRODUCTION: Image segmentation in medical physics plays a vital role in image
analysis to identify the affected tumour. The process of subdividing an image into its …

Background: Thanks to the rapid development of computer-based systems and deep-
learning-based algorithms, artificial intelligence (AI) has long been integrated into the …

The advent of deep learning has brought great change to the community of computer
science and also revitalized numerous fields where traditional machine learning methods …

Use of Artificial intelligence (AI) has increased in the healthcare in many sectors.
Organizations from health care of different sizes, types and different specialties are now a …

Increasing numbers of higher education institutions see themselves as service providers,
catering primarily to the needs of its students. The improvement of student performance is a …

Skin cancer is one of the most common diseases in the world. Correctly classifying skin
lesions at an early stage could aid clinical decision-making by providing an accurate …

Cancer is a complicated global health concern with a significant fatality rate. Breast cancer is
among the leading causes of mortality each year. Advancements in prognoses have been …

Recently, transfer learning approaches appeared to reduce the need for many classified
medical images. However, these approaches still contain some limitations due to the …

The advancement and progress in technology and related techniques have created an
opportunity for progress in many scientific fields and various industries. Machine learning …

The advancement of artificial intelligence is reshaping various sectors of our lives including
disease identification. Today, dermatologists depend greatly on digitalized output of patients' …