Breast cancer has become one of the most dreaded diseases that can threaten the life of
any woman. Accurate target lesion segmentation is essential for early clinical intervention …

Breast cancer is the type of cancer with the highest incidence and global mortality of female
cancers. Thus, the adaptation of modern technologies that assist in medical diagnosis in …

This paper investigates the impact of the amount of training data and the shape variability on
the segmentation provided by the deep learning architecture U-Net. Further, the correctness …

Diverse breast masses in size, shape and place make accurate image segmentation more
challenging in a unified deep-learning network. Therefore, based on the U-net network, an …

Breast cancer is a highly lethal disease with the highest mortality rate among women
worldwide. Breast tumor segmentation from ultrasound images plays a critical role in …

One of the main causes of death for women globally is breast cancer. Early discovery can
reduce the frequency of early deaths. Breast ultrasound images can help in diagnosis and …