Simple Summary Deep learning has succeeded greatly in medical image-based cancer
diagnosis. To help readers better understand the current research status and ideas, this …

Autoimmune rheumatic diseases (ARDs) involve multiple organs including the heart and
vasculature. Despite novel treatments, patients with ARDs still experience a reduced life …

The purpose of breast cancer screening is to find cancers early to reduce mortality and to
allow successful treatment with less aggressive therapy. Mammography is the gold standard …

Bioimaging is a digital technology-based medical advancement which is still relatively new.
It has to do with real-time visualization of biological processes. This innovative imaging …

Neuroimaging in conjunction with a neurologic examination has become a valuable
resource for today's intensive care unit (ICU) physicians. Imaging provides critical …

Objectives Response assessment to neoadjuvant systemic treatment (NAST) to guide
individualized treatment in breast cancer is a clinical research priority. We aimed to develop …

Background White matter hyperintensities (WMHs) of the brain are observed in normal
aging, in various subtypes of dementia and in chronic pain, playing a crucial role in pain …

Invasive lobular carcinoma is the second most common histologic form of breast cancer,
representing 5% to 15% of all invasive breast cancers. Due to an insidious proliferative …

Strokes are one of the global leading causes of physical or mental impairment and fatality,
classified into hemorrhagic and ischemic strokes. Ischemic strokes happen when a …

Deep learning (DL) is a subfield of machine learning (ML), which has recently demonstrated
its potency to significantly improve the quantification and classification workflows in …