An update on the pathological classification of breast cancer

EA Rakha, GM Tse, CM Quinn - Histopathology, 2023 - Wiley Online Library
Breast cancer (BC) is a heterogeneous disease, encompassing a diverse spectrum of
tumours with varying morphological, biological, and clinical phenotypes. Although tumours …

[HTML][HTML] Estrogen receptor signaling in breast cancer

P Miziak, M Baran, E Błaszczak… - Cancers, 2023 - mdpi.com
Simple Summary Estrogens, belonging to a group of steroid compounds, play an important
role in both physiological and disease processes, mainly by interacting with estrogen …

[HTML][HTML] Fine-tuned DenseNet-169 for breast cancer metastasis prediction using FastAI and 1-cycle policy

A Vulli, PN Srinivasu, MSK Sashank, J Shafi, J Choi… - Sensors, 2022 - mdpi.com
Lymph node metastasis in breast cancer may be accurately predicted using a DenseNet-
169 model. However, the current system for identifying metastases in a lymph node is …

Tumor heterogeneity in breast cancer

G Turashvili, E Brogi - Frontiers in medicine, 2017 - frontiersin.org
Breast cancer is a heterogeneous disease and differs greatly among different patients
(intertumor heterogeneity) and even within each individual tumor (intratumor heterogeneity) …

Deep learning in breast cancer imaging: A decade of progress and future directions

L Luo, X Wang, Y Lin, X Ma, A Tan… - IEEE Reviews in …, 2024 - ieeexplore.ieee.org
Breast cancer has reached the highest incidence rate worldwide among all malignancies
since 2020. Breast imaging plays a significant role in early diagnosis and intervention to …

A multimodal deep neural network for human breast cancer prognosis prediction by integrating multi-dimensional data

D Sun, M Wang, A Li - IEEE/ACM transactions on …, 2018 - ieeexplore.ieee.org
Breast cancer is a highly aggressive type of cancer with very low median survival. Accurate
prognosis prediction of breast cancer can spare a significant number of patients from …

Supplemental breast MR imaging screening of women with average risk of breast cancer

CK Kuhl, K Strobel, H Bieling, C Leutner, HH Schild… - Radiology, 2017 - pubs.rsna.org
Purpose To investigate the utility and accuracy of breast magnetic resonance (MR) imaging
as a supplemental screening tool in women at average risk for breast cancer and to …

Breast cancer histopathology image analysis: A review

M Veta, JPW Pluim, PJ Van Diest… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
This paper presents an overview of methods that have been proposed for the analysis of
breast cancer histopathology images. This research area has become particularly relevant …

Molecular classification of breast carcinoma: from traditional, old-fashioned way to a new age, and a new way

N Eliyatkın, E Yalçın, B Zengel… - The journal of breast …, 2015 - pmc.ncbi.nlm.nih.gov
Breast carcinoma comprises a group of diseases with specific clinical, histopathologic and
molecular properties. Traditional classification use morphology to divide tumors into …

CD4+ T helper 2 cells suppress breast cancer by inducing terminal differentiation

M Boieri, A Malishkevich, R Guennoun… - Journal of Experimental …, 2022 - rupress.org
Cancer immunology research is largely focused on the role of cytotoxic immune responses
against advanced cancers. Herein, we demonstrate that CD4+ T helper (Th2) cells directly …