Artificial intelligence (AI) in healthcare plays a pivotal role in combating many fatal diseases,
such as skin, breast, and lung cancer. AI is an advanced form of technology that uses …

Judgement, as one of the core tenets of medicine, relies upon the integration of multilayered
data with nuanced decision making. Cancer offers a unique context for medical decisions …

In this paper, we developed a deep convolutional neural network (CNN) for the classification
of malignant and benign masses in digital breast tomosynthesis (DBT) using a multi-stage …

This topical review on digital breast tomosynthesis (DBT) is provided with the intent of
describing the state of the art in terms of technology, results from recent clinical studies …

Breast cancer poses a great threat on women health due to its high malignant rate. In China,
ultrasound screening is the commonly-used method for breast cancer diagnosis, and the …

Many important post‐acquisition aspects of breast tomosynthesis imaging can impact its
clinical performance. Chief among them is the reconstruction algorithm that generates the …

The role of breast image analysis in radiologists' interpretation tasks in cancer risk
assessment, detection, diagnosis, and treatment continues to expand. Breast image analysis …

Full-field digital mammography (FFDM), the standard of care for breast cancer screening,
has some limitations. With the advent of digital breast tomosynthesis (DBT), improvements …

Breast screening with mammography is widely recognized as the most effective method of
detecting early breast cancer and has consistently demonstrated a 20–40% decrease in …

Breast cancer poses a great threat on women health due to its high malignant rate. In China,
ultrasound screening is the commonly-used method for breast cancer diagnosis, and the …