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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 …
tumours with varying morphological, biological, and clinical phenotypes. Although tumours …
[HTML][HTML] Estrogen receptor signaling in breast cancer
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 …
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
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 …
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) …
(intertumor heterogeneity) and even within each individual tumor (intratumor heterogeneity) …
Deep learning in breast cancer imaging: A decade of progress and future directions
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 …
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
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 …
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 …
as a supplemental screening tool in women at average risk for breast cancer and to …
Breast cancer histopathology image analysis: A review
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 …
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
Breast carcinoma comprises a group of diseases with specific clinical, histopathologic and
molecular properties. Traditional classification use morphology to divide tumors into …
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 …
against advanced cancers. Herein, we demonstrate that CD4+ T helper (Th2) cells directly …