Breast cancer is a significant global health burden, with increasing morbidity and mortality
worldwide. Early screening and accurate diagnosis are crucial for improving prognosis …

Breast cancer is one of the most common causes of death among women worldwide. Early
signs of breast cancer can be an abnormality depicted on breast images (eg, mammography …

Breast ultrasound (BUS) imaging is commonly used in the early detection of breast cancer
as a portable, valuable, and widely available diagnosis tool. Automated BUS image …

Multi-task learning (MTL) methods have been extensively employed for joint localization and
classification of breast lesions on ultrasound images to assist in cancer diagnosis and …

One of the key challenges in laser powder bed fusion (LPBF) additive manufacturing of
metals is the appearance of microscopic pores in 3D-printed metallic structures. Quality …

Capturing global contextual information plays a critical role in breast ultrasound (BUS)
image classification. Although convolutional neural networks (CNNs) have demonstrated …

Breast cancer classification and segmentation play an important role in identifying and
detecting benign and malignant breast lesions. However, segmentation and classification …

Introduction: Pap smear is considered to be the primary examination for the diagnosis of
cervical cancer. But the analysis of pap smear slides is a time-consuming task and tedious …

Breast cancer is a mostly diagnosed deadly disease with a high mortality rate that can
effectively be cured by early diagnosis and proper treatment. Ultrasound imaging modality is …

Abstract Background and Objective: Predicting the malignant potential of breast lesions
based on breast ultrasound (BUS) images is a crucial component of computer-aided …