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

Simple Summary Breast cancer is the most common cancer, which resulted in the death of
700,000 people around the world in 2020. Various imaging modalities have been utilized to …

Breast tumor segmentation and recognition from mammograms play a key role in healthcare
and treatment services. As different tumors in mammography have dissimilar densities …

In recent decades, 3D bioprinting has garnered significant research attention due to its
ability to manipulate biomaterials and cells to create complex structures precisely. However …

Background Deep learning models require large‐scale training to perform confidently, but
obtaining annotated datasets in medical imaging is challenging. Weak annotation has …

Background Several studies have confirmed the potential value of applying radiomics to
predict prognosis of breast cancer. However, the tumor segmentation in these studies …

Research on breast cancer segmentation is essential due to its high prevalence as the most
common cancer in women and its occurrence in men as well. Breast cancer involves …

Simple Summary Quantitative image analysis of cancers requires accurate tumor
segmentation that is often performed manually. In this study, we developed a deep learning …

Breast cancer (BC) is a multifaceted genetic malignancy that accounts for the majority of
cancer fatalities in women. Dynamic Contrast-Enhanced Magnetic Resonance Imaging …

The rapid advancement of artificial intelligence (AI) has introduced transformative
opportunities in oncology, enhancing the precision and efficiency of tumor diagnosis and …