Dense breast tissue is a significant factor that increases the risk of breast cancer. Current
mammographic density classification approaches are unable to provide enough …

Asymmetry is a crucial characteristic of bilateral mammograms (Bi-MG) when abnormalities
are developing. It is widely utilized by radiologists for diagnosis. The question of “what the …

Object. Breast density is an important indicator of breast cancer risk. However, existing
methods for breast density classification do not fully utilise the multi-view information …

This study introduces a novel framework for enhancing domain generalization in medical
imaging, specifically focusing on utilizing unlabelled multi-view colour fundus photographs …

One of the most prevalent cancers in women is breast cancer. Early and accurate detection
can decrease the mortality rate associated with breast cancer. Governments and health …

Breast cancer risk is increased by dense breast tissue. The existing mammographic density
classification methods cannot provide sufficient classification accuracy. The classification of …

In many computer vision applications, one image can be represented by multiple
heterogeneous features from different views, most of them commonly locate in high …

In recent years, due to the high correlation between breast cancer and breast density, the
quantitative and qualitative analysis of breast density has attracted wide attention from …

Medical data such as Computed Tomography (CT), X-ray, and Magnetic Resonance
Imaging (MRI) are integral elements of medical diagnosis. Deep learning has become …

Breast density plays a key part in the early prediction of breast cancer development.
Experienced radiologists evaluate breast density from the mammographic images for a …