Breast cancer is the most prevalent cancer that affects women all over the world. Early
detection and treatment of breast cancer could decline the mortality rate. Some issues such …

Breast cancer is a crucial reason for death in females. Early recognition of this disease with
the assistance of mammography reduces the death rate. Deep learning (DL) is an approach …

Purpose This work proposes a new reliable computer‐aided diagnostic (CAD) system for the
diagnosis of breast cancer from breast ultrasound (BUS) images. The system can be useful …

Breast cancer is one of the common cancer deaths in women worldwide. Early detection is
the key to reduce the mortality rate. Clinical trials have shown that computer aided systems …

Artificial intelligence (AI) and machine learning (ML) techniques play an important role in our
daily lives by enhancing predictions and decision-making for the public in several fields …

Telehealth monitoring is an innovative process of synergising the benefits of information and
communication technologies (ICT) and Internet of Things (IoT) to deliver healthcare services …

Breast cancer is the most frequent type of cancer in women; however, early identification has
reduced the mortality rate associated with the condition. Studies have demonstrated that the …

The use of computers in cancerdiagnosis is increasing continually powered by new
modalities of imaging and advanced image processing methods. The use of bioinformatics …

The death rate is caused by breast cancer in women is increasingly high and growing. A
number of people are getting to lose this part of their body due to late diagnosis of this …

Abstract B reast U ltra S ound (BUS) image segmentation is crucial for the diagnosis and
analysis of breast cancer. However, most existing methods for BUS tend to overlook the vital …