Background Breast cancer is a deadly disease responsible for statistical yearly global death.
Identification of cancer tumors is quite tasking, as a result, concerted efforts are thus …

Globally, breast cancer occurs frequently in women and has the highest mortality rate.
Owing to the increased need for a rapid and reliable initial diagnosis of breast cancer …

Breast cancer is one of the most serious disease affecting women's health. Due to low cost,
portable, no radiation, and high efficiency, breast ultrasound (BUS) imaging is the most …

Segmentation and classification of breast tumors in ultrasound (US) images is an important
application to deep neural networks. Unet architecture is recently developed for image …

Breast cancer is a common gynecological disease that poses a great threat to women health
due to its high malignant rate. Breast cancer screening tests are used to find any warning …

Accurate breast mass segmentation of automated breast ultrasound (ABUS) is a great help
to breast cancer diagnosis and treatment. However, the lack of clear boundary and …

Computer aided diagnosis (CAD) of biomedical images assists physicians for a fast
facilitated tissue characterization. A scheme based on combining fuzzy logic (FL) and deep …

Breast cancer is a high-incidence type of cancer for women. Early diagnosis plays a crucial
role in the successful treatment of the disease and the effective reduction of deaths. In this …

Breast cancer is a great threat to females. Ultrasound imaging has been applied extensively
in diagnosis of breast cancer. Due to the poor image quality, segmentation of breast …

Simple Summary In the literature, there exist plenty of research works focused on the
detection and classification of breast cancer. However, only a few works have focused on …