The successful use of artificial intelligence (AI) for diagnostic purposes has prompted the
application of AI-based cancer imaging analysis to address other, more complex, clinical …

Historically, medical imaging has been a qualitative or semi-quantitative modality. It is
difficult to quantify what can be seen in an image, and to turn it into valuable predictive …

Background: in current clinical practice, the standard evaluation for axillary lymph node
(ALN) status in breast cancer has a low efficiency and is based on an invasive procedure …

The advancement of artificial intelligence concurrent with the development of medical
imaging techniques provided a unique opportunity to turn medical imaging from mostly …

Background Accurate identification of pCR to neoadjuvant chemotherapy (NAC) is essential
for determining appropriate surgery strategy and guiding resection extent in breast cancer …

Objectives Breast cancer (BC) is the most common cancer in women worldwide, and
neoadjuvant chemotherapy (NAC) is considered the standard of treatment for most patients …

Distant metastasis (DM) is the main cause of treatment failure in locally advanced rectal
cancer. Adjuvant chemotherapy is usually used for distant control. However, not all patients …

Objectives Rapid and accurate diagnosis of coronavirus disease 2019 (COVID-19) is critical
during the epidemic. We aim to identify differences in CT imaging and clinical manifestations …

Gliomas can be classified into five molecular groups based on the status of IDH mutation,
1p/19q codeletion, and TERT promoter mutation, whereas they need to be obtained by …

Breast magnetic resonance imaging (MRI) is the most sensitive imaging modality for breast
cancer diagnosis and is widely used clinically. Dynamic contrast-enhanced MRI is the basis …