Deep learning analysis of radiological images has the potential to improve diagnostic
accuracy of breast cancer, ultimately leading to better patient outcomes. This paper …

Contrast-enhanced ultrasound (CEUS) is a dependable modality for the diagnosis of various
clinical conditions. A judicious selection of ultrasound contrast agent (UCA) is imperative for …

Intelligent agents are showing increasing promise for clinical decision-making in a variety of
healthcare settings. While a substantial body of work has contributed to the best strategies to …

Background Integrated PET/MRI is a promising modality for breast assessment. The most
frequently used tracer, fluorine 18 (18F) fluorodeoxyglucose (FDG), is applied for whole …

Neoadjuvant therapy is increasingly being used to treat early-stage triple-negative and
human epidermal growth factor 2–overexpressing breast cancers, as well as locally …

Purpose A sensitive and specific imaging method to detect metastatic cancer cells in lymph
nodes to detect the early-stage breast cancer is still a challenge. The purpose of this study …

Although breast ultrasonography is the mainstay modality for differentiating between benign
and malignant breast masses, it has intrinsic problems with false positives and substantial …

Background Early identification of axillary lymph node metastasis (ALNM) in breast cancer
(BC) is still a clinical difficulty. There is still no good method to replace sentinel lymph node …

Background Accurate assessment of the axillary lymph nodes (aLNs) in breast cancer
patients is essential for prognosis and treatment planning. Current radiological staging of …

Neoadjuvant chemotherapy (NAC) for breast cancer is widely used in the clinical setting to
improve the chance of surgery, breast conservation and quality of life for patients with …