Deep learning techniques, in particular generative models, have taken on great importance
in medical image analysis. This paper surveys fundamental deep learning concepts related …

The recent development in the areas of deep learning and deep convolutional neural
networks has significantly progressed and advanced the field of computer vision (CV) and …

Various deep learning methods have been proposed to segment breast lesions from
ultrasound images. However, similar intensity distributions, variable tumor morphologies …

There has been a substantial amount of research involving computer methods and
technology for the detection and recognition of diabetic foot ulcers (DFUs), but there is a lack …

Breast cancer is among the leading causes of mortality for females across the planet. It is
essential for the well-being of women to develop early detection and diagnosis techniques …

Breast cancer is becoming more dangerous by the day. The death rate in developing
countries is rapidly increasing. As a result, early detection of breast cancer is critical, leading …

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 …

The automatic segmentation of breast tumors in ultrasound (BUS) has recently been
addressed using convolutional neural networks (CNN). These CNN-based approaches …

Breast cancer is a common disease worldwide that poses a significant threat to the health of
women. Many researchers have developed computer-aided diagnosis (CAD) systems to …

Breast cancer has reached the highest incidence rate worldwide among all malignancies
since 2020. Breast imaging plays a significant role in early diagnosis and intervention to …