Invasive lobular carcinoma (ILC) is the second most common histologic subtype of breast
cancer after invasive ductal carcinoma (IDC), accounting for 10–15% of all breast cancer …

Breast cancer, one of the leading causes of death in women in the United States, challenges
therapeutic success in patients due to tumor heterogeneity, treatment resistance, metastasis …

T cell-centric immunotherapies have shown modest clinical benefit thus far for estrogen
receptor-positive (ER+) breast cancer. Despite accounting for 70% of all breast cancers …

There are several breast cancer datasets for building Computer Aided Diagnosis systems
(CADs) using either deep learning or traditional models. However, most of these datasets …

Motivation Identifying carcinoma subtype can help to select appropriate treatment options
and determining the subtype of benign lesions can be beneficial to estimate the patients' risk …

Convolutional Neural Network (CNN) models are a type of deep learning architecture
introduced to achieve the correct classification of breast cancer. This paper has a two-fold …

Aims: This study aims to design an angiogenesis gene expression profile; to study
angiogenesis gene expression profile in breast cancer; and to map angiogenesis gene …

Early detection and diagnosis of cancer can allow timely medical intervention, which greatly
improves chances of survival and enhances quality of life. Biomarkers play an important role …

Background Invasive lobular carcinoma (ILC) comprises around 10–15% of invasive breast
cancers. Few prior studies have demonstrated a unique pattern of metastases between ILC …

Invasive lobular carcinoma (ILC) is the second most common histological subtype of breast
cancer following invasive ductal carcinoma (IDC). ILC differs from IDC in a number of …