Medical image segmentation plays a crucial role in various healthcare applications,
enabling accurate diagnosis, treatment planning, and disease monitoring. Traditionally …

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 …

Tuberculosis still significantly impacts the world's population, with more than 10 million
people getting sick each year. Researchers have focused on developing computer-aided …

Background The approaches based on vision transformers (ViTs) are advancing the field of
medical artificial intelligence (AI) and cancer diagnosis. Recently, many researchers have …

With the intensification of urbanization in human society, pollen allergy has become a
seasonal epidemic disease with a considerable incidence rate, seriously affecting the …

The analysis of breast cancer using Ultrasounds, Magnetic resonance imaging (MRI), and
Mammogram images plays a crucial role in the early detection of breast tumors in women …

Due to the impact of the production environment, there may be quality issues on the surface
of printed circuit boards (PCBs), which could result in significant economic losses during the …

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

Semi-supervised learning has attracted much attention in medical image analysis as
annotating medical images is substantially difficult. Existing semi-supervised learning …

Breast cancer remains a critical global concern, underscoring the urgent need for early
detection and accurate diagnosis to improve survival rates among women. Recent …