Breast cancer is one of the leading causes of cancer-related morbidity and mortality in
women worldwide. Early diagnosis and effective treatment of all types of cancers are crucial …

The breast cancer as the most life-threatening disease among the woman has emerged in
the worldwide. It is supposed that the early testing and treatment for breast cancer detection …

We develop a highly sensitive electrochemical immunosensor for the detection of a cluster of
differentiation-44 (CD44) antigen, a breast cancer biomarker. The hybrid nanocomposite …

Breast cancer needs to be detected early to reduce mortality rate. Ultrasound imaging (US)
could significantly enhance diagnosing cases with dense breasts. Most of the existing …

Breast cancer is one of the most common diseases in women; it can have long-term
implications and can even be fatal. However, early detection, achieved through recent …

Purpose This study investigates implementation of deep learning (DL) approaches to breast
tumor recognition based on thermal images. We propose to utilize Mask R-CNN technique …

Breast cancer (BC) is one of the deadly forms of cancer, causing mortality worldwide in the
female population. The standard imaging procedures for screening BC involve …

There is a wide application of deep learning technique to unimodal medical image analysis
with significant classification accuracy performance observed. However, real-world …

Deep learning techniques, which use a massive technology known as convolutional neural
networks, have shown excellent results in a variety of areas, including image processing …

Breast cancer is the most leading cancer occurring in women and is a significant factor in
female mortality. Early diagnosis of breast cancer with Artificial Intelligent (AI) developments …