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Comparative Study of Classification Techniques on Breast Cancer FNA Biopsy Data
Accurate diagnostic detection of the
cancerous cells in a patient is critical and may alter the
subsequent treatment and increase the chances of
survival rate. Machine learning techniques have been
instrumental in ...
Molecular aspects of breast cancer resistance to drugs (Review)
(Spandidos Publ, 2015)
Despite continuous advances in the knowledge of breast cancer pathophysiology, this type of
neoplasia remains a leading cause of cancer-related death in women worldwide.
Carcinogenesis takes a progressive course from ...
Molecular aspects of breast cancer resistance to drugs (Review)
(SPANDIDOS PUBL LTD, 2015)
Early breast cancer detection using logistic regression models
(Universidade Federal de Minas GeraisUFMG, 2017-11-17)
MicroRNAs (miRNAs) play a central role in gene expression and have remarkable abundance in body fluids. They are candidate diagnostics for a variety of conditions and diseases, including breast cancer. Their main objective ...
Microarray-based breast cancer classification using logistic regression and beyond
(Universidade Federal de Minas GeraisUFMG, 2017-07-31)
Cancer is a major global health problem with millions of new cancer cases emerging each year and millions of cancer-related deaths occurring per year. Breast cancer ranks as the first to affect women with the most ...
Identificação de macromoléculas em linhagens celulares da classificação molecular do câncer de mama via espectroscopia vibracional e técnicas de recursividade
(Universidade Tecnológica Federal do ParanáCuritibaBrasilPrograma de Pós-Graduação em Engenharia Elétrica e Informática IndustrialUTFPR, 2019-08-30)
Cancer is a collection of over 100 different types of diseases that have in common the disordered and unbridled growth of abnormal cells with invasive potential. Breast cancer is the most common cancer in women, excluding ...
Learning deep features for dead and living breast cancer cell classification without staining
(Springer Nature, 2021-05)
Automated cell classification in cancer biology is a challenging topic in computer vision and machine learning research. Breast cancer is the most common malignancy in women that usually involves phenotypically diverse ...
Implementation of several mathematical algorithms to breast tissue density classification
(2014)
The accuracy of mammographic abnormality detection methods is strongly dependent on breast tissue characteristics, where a dense breast tissue can hide lesions causing cancer to be detected at later stages. In addition, ...