Results 71 to 80 of about 304,742 (351)

Multi-Level Batch Normalization In Deep Networks For Invasive Ductal Carcinoma Cell Discrimination In Histopathology Images [PDF]

open access: yes, 2019
Breast cancer is the most diagnosed cancer and the most predominant cause of death in women worldwide. Imaging techniques such as the breast cancer pathology helps in the diagnosis and monitoring of the disease. However identification of malignant cells can be challenging given the high heterogeneity in tissue absorbotion from staining agents.
arxiv   +1 more source

Pathological Features of Breast Cancer seen in Northwestern Tanzania: A Nine Years Retrospective Study. [PDF]

open access: yes, 2011
Breast cancer is more common in Western Countries compared to African populations. However in African population, it appears that the disease tends to be more aggressive and occurring at a relatively young age at the time of presentation. The aim of this
A Dobi   +33 more
core   +3 more sources

Surfaceome: a new era in the discovery of immune evasion mechanisms of circulating tumor cells

open access: yesMolecular Oncology, EarlyView.
In the era of immunotherapies, many patients either do not respond or eventually develop resistance. We propose to pave the way for proteomic analysis of surface‐expressed proteins called surfaceome, of circulating tumor cells. This approach seeks to identify immune evasion mechanisms and discover potential therapeutic targets. Circulating tumor cells (
Doryan Masmoudi   +3 more
wiley   +1 more source

Morphological assessment of angiogenesis factor expression in tumor and microenvironment of breast fibroadenoma and ductal carcinoma: An observational cohort study

open access: yesКубанский научный медицинский вестник
Background. Angiogenesis plays a crucial role in the progression of breast cancer. Identifying and investigating the key components of this process, focused on phenotype as well as microenvironment of the tumor, is considered highly relevant for ...
K. A. Aliyev   +3 more
doaj   +1 more source

Breast MR imaging in mammographically benign-appearing breast lesions [PDF]

open access: yes, 2012
Breast cancer is the most common malignancy in women. The most common pathologic subtypes of breast cancer originate in the terminal duct lobular unit in either the ducts (ductal carcinoma) or lobules (lobular carcinoma).
Vassallo, Pierre
core  

Immunohistochemical evaluation of human epidermal growth factor receptor 2 and estrogen and progesterone receptors in breast carcinoma in Jordan [PDF]

open access: yes, 2005
INTRODUCTION: Although breast carcinoma (BC) is the most common malignancy affecting Jordanian females and the affected population in Jordan is younger than that in the West, no information is available on its biological characteristics. Our aims in this
AA Abalkhail   +51 more
core   +2 more sources

Cell‐free and extracellular vesicle microRNAs with clinical utility for solid tumors

open access: yesMolecular Oncology, EarlyView.
Cell‐free microRNAs (cfmiRs) are small‐RNA circulating molecules detectable in almost all body biofluids. Innovative technologies have improved the application of cfmiRs to oncology, with a focus on clinical needs for different solid tumors, but with emphasis on diagnosis, prognosis, cancer recurrence, as well as treatment monitoring.
Yoshinori Hayashi   +6 more
wiley   +1 more source

A novel nomogram and risk classification system for predicting lymph node metastasis of breast mucinous carcinoma: A SEER‐based study

open access: yesCancer Medicine, Volume 11, Issue 24, Page 4767-4783, December 2022., 2022
1. In this study, we observed that mucinous breast cancer with metastatic lymph nodes have a worse prognosis and identified tumor size, grade and age as independent risk factors of lymph node metastasis. 2. we constructed a nomogram with factors of tumor size, grade, age and developed a risk classification system for predicting the risk of lymph node ...
Shuang‐Ling Wu   +4 more
wiley   +1 more source

A Computer-Aided Diagnosis System for Breast Pathology: A Deep Learning Approach with Model Interpretability from Pathological Perspective [PDF]

open access: yesarXiv, 2021
Objective: We develop a computer-aided diagnosis (CAD) system using deep learning approaches for lesion detection and classification on whole-slide images (WSIs) with breast cancer. The deep features being distinguishing in classification from the convolutional neural networks (CNN) are demonstrated in this study to provide comprehensive ...
arxiv  

Plum pudding random medium model of biological tissue toward remote microscopy from spectroscopic light scattering [PDF]

open access: yesBiomed. Opt. Express 8, 2879-2895 (2017), 2017
Biological tissue has a complex structure and exhibits rich spectroscopic behavior. There is \emph{no} tissue model up to now able to account for the observed spectroscopy of tissue light scattering and its anisotropy. Here we present, \emph{for the first time}, a plum pudding random medium (PPRM) model for biological tissue which succinctly describes ...
arxiv   +1 more source

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