This review gives an overview of the current state of deep learning research in breast cancer
imaging. Breast imaging plays a major role in detecting breast cancer at an earlier stage, as …

Recently, there has been great interest in developing Artificial Intelligence (AI) enabled
computer-aided diagnostics solutions for the diagnosis of skin cancer. With the increasing …

Currently, the automatic segmentation of breast tumors based on breast ultrasound (BUS)
images is still a challenging task. Most lesion segmentation methods are implemented …

In this work, we propose a deep learning method for breast mass segmentation in
ultrasound (US). Variations in breast mass size and image characteristics make the …

Deep learning (DL) is a branch of machine learning and artificial intelligence that has been
applied to many areas in different domains such as health care and drug design. Cancer …

Breast cancer diagnosis is one of the many areas that has taken advantage of artificial
intelligence to achieve better performance, despite the fact that the availability of a large …

Simple Summary Transfer learning plays a major role in medical image analyses; however,
obtaining adequate training image datasets for machine learning algorithms can be …

Deep learning methods, especially convolutional neural networks, have been successfully
applied to lesion segmentation in breast ultrasound (BUS) images. However, pattern …

Computer-aided diagnosis (CAD) has been a popular area of research and development in
the past few decades. In CAD, machine learning methods and multidisciplinary knowledge …

Recognition and analysis of Diabetic Foot Ulcers (DFU) using computerized methods is an
emerging research area with the evolution of image-based machine learning algorithms …