Breast cancer is considered the most commonly diagnosed cancer globally and falls second
to lung cancer. For the early detection of breast tumors in women, breast cancer analysis …

Currently, the automatic segmentation of breast tumors based on breast ultrasound (BUS)
images is still a challenging task. Most lesion segmentation methods are implemented …

Rapid and precise segmentation of breast tumors is a severe challenge for the global
research community to diagnose breast cancer in younger females. An ultrasound system is …

Automatic breast ultrasound image segmentation helps radiologists to improve the accuracy
of breast cancer diagnosis. In recent years, the convolutional neural networks (CNNs) have …

Breast cancer is the most common type of cancer among women worldwide. Early breast
cancers have a high chance of cure so early diagnosis is critical. Mammography screening …

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 …

Simple Summary The segmentation of breast tumors is an important step in identifying and
classifying benign and malignant tumors in X-ray images. Mammography screening has …

In this work, a new framework for breast cancer image segmentation and classification is
proposed. Different models including InceptionV3, DenseNet121, ResNet50, VGG16 and …

Breast tumor segmentation from ultrasound images is one of the key steps that help us
characterize and localize tumor regions. However, variable tumor morphology, blurred …

Breast cancer is one of the most common cancers in women. It is known as asymptomatic
cancer that presents no noticeable symptoms in its early stage. Thus, regular mammography …