Breast cancer is one of the main causes of death among women worldwide. Early detection
of this disease helps reduce the number of premature deaths. This research aims to design …

Breast cancer is a common cause of death among women worldwide. Ultrasonic imaging is
a valuable diagnostic tool in breast cancer detection. However, the accuracy of computer …

Breast cancer (BrCa) is the most common disease in women worldwide. Classifying the
BrCa image is extremely important for finding BrCa at an earlier stage and monitoring BrCa …

The early detection of breast cancer (BC) has a significant impact on reducing the disease's
mortality rate. As an effective cost-and time-saving tool, computer-aided diagnosis (CAD) …

In medical imaging, precise recognition of Breast Cancer (BC) is a challenge due to the
complications of breast tissues. Histopathological detection is still considered the standard …

The aim of our study was to establish an artificial intelligence tool for the diagnosis of breast
disease base on ultrasound (US) images. A deep learning algorithm Efficient‐Det assisted …

Ultrasound imaging is one of the common modalities used nowadays during radiological
screening of breast cancer. A novel residual deep convolutional neural network (DCNN) is …

Background: Females benefit from ultrasound screening and diagnosis of breast cancer,
and artificial intelligence has enabled the automatic identification of medical conditions on …

In previous chapters, we discussed the usage of AI in healthcare, medical imaging, and
detection of breast cancer with various points. In this chapter, various image datasets for the …

Breast Cancer is one of the most commonly occurring cancers in women. Detecting cancer
at an earlier stage increases the chance of survival. Thus the development of an automatic …