One issue with computer based histopathology image analysis is that the size of the raw
image is usually very large. Taking the raw image as input to the deep learning model would …

Mastering the molecular mechanism of breast cancer (BC) can provide an in-depth
understanding of BC pathology. This study explored existing technologies for diagnosing …

It is very significant to explore the intrinsic differences in breast cancer subtypes. These
intrinsic differences are closely related to clinical diagnosis and designation of treatment …

In computer vision, particularly in label categorization, attributing features such as color,
shape, and tissue size to each category presents a formidable challenge. Dense features …

Breast cancer is a heterogeneous disease. To guide proper treatment decisions for each
patient, robust prognostic biomarkers, which allow reliable prognosis prediction, are …

Breast cancer is one of the most frequent cancers among women. Extensive studies into the
molecular heterogeneity of breast cancer have produced a plethora of molecular subtype …

Breast cancer was traditionally perceived as a single disease; however, recent advances in
gene expression and genomic profiling have revealed that breast cancer is in fact a …

The incidence of breast cancer is increasing rapidly around the world. Accurate
classification of the breast cancer subtype from hematoxylin and eosin images is the key to …

Motivation Breast cancer is a very heterogeneous disease and there is an urgent need to
design computational methods that can accurately predict the prognosis of breast cancer for …

Breast Cancer is a highly aggressive type of cancer generally formed in the cells of the
breast. Despite significant advances in the treatment of primary breast cancer in the last …