Precision medicine and radiogenomics in breast cancer: new approaches toward diagnosis and treatment
Precision medicine is medicine optimized to the genotypic and phenotypic characteristics of
an individual and, when present, his or her disease. It has a host of targets, including genes …
an individual and, when present, his or her disease. It has a host of targets, including genes …
Survey of deep learning in breast cancer image analysis
TG Debelee, F Schwenker, A Ibenthal, D Yohannes - Evolving Systems, 2020 - Springer
Computer-aided image analysis for better understanding of images has been time-honored
approaches in the medical computing field. In the conventional machine learning approach …
approaches in the medical computing field. In the conventional machine learning approach …
Detection of therapeutically targetable driver and resistance mutations in lung cancer patients by next-generation sequencing of cell-free circulating tumor DNA
Purpose: The expanding number of targeted therapeutics for non–small cell lung cancer
(NSCLC) necessitates real-time tumor genotyping, yet tissue biopsies are difficult to perform …
(NSCLC) necessitates real-time tumor genotyping, yet tissue biopsies are difficult to perform …
Background, current role, and potential applications of radiogenomics
K Pinker, F Shitano, E Sala, RK Do… - Journal of Magnetic …, 2018 - Wiley Online Library
With the genomic revolution in the early 1990s, medical research has been driven to study
the basis of human disease on a genomic level and to devise precise cancer therapies …
the basis of human disease on a genomic level and to devise precise cancer therapies …
Optimizing survival analysis of XGBoost for ties to predict disease progression of breast cancer
Objective: Some excellent prognostic models based on survival analysis methods for breast
cancer have been proposed and extensively validated, which provide an essential means …
cancer have been proposed and extensively validated, which provide an essential means …
Role of texture analysis in breast MRI as a cancer biomarker: A review
RD Chitalia, D Kontos - Journal of Magnetic Resonance …, 2019 - Wiley Online Library
Breast cancer is a known heterogeneous disease. Current clinically utilized histopathologic
biomarkers may undersample tumor heterogeneity, resulting in higher rates of misdiagnosis …
biomarkers may undersample tumor heterogeneity, resulting in higher rates of misdiagnosis …
Joint prediction of breast cancer histological grade and Ki-67 expression level based on DCE-MRI and DWI radiomics
M Fan, W Yuan, W Zhao, M Xu, S Wang… - IEEE journal of …, 2019 - ieeexplore.ieee.org
Objective: Histologic grade and Ki-67 proliferation status are important clinical indictors for
breast cancer prognosis and treatment. The purpose of this study is to improve prediction …
breast cancer prognosis and treatment. The purpose of this study is to improve prediction …
A systematic review on breast cancer detection using deep learning techniques
Breast cancer is a common health problem in women, with one out of eight women dying
from breast cancer. Many women ignore the need for breast cancer diagnosis as the …
from breast cancer. Many women ignore the need for breast cancer diagnosis as the …
The role of deep learning in advancing breast cancer detection using different imaging modalities: a systematic review
Simple Summary Breast cancer is the most common cancer, which resulted in the death of
700,000 people around the world in 2020. Various imaging modalities have been utilized to …
700,000 people around the world in 2020. Various imaging modalities have been utilized to …
[Retracted] Deep Learning‐Based Real‐Time Discriminate Correlation Analysis for Breast Cancer Detection
Breast cancer is the most common cancer in women, and the breast mass recognition model
can effectively assist doctors in clinical diagnosis. However, the scarcity of medical image …
can effectively assist doctors in clinical diagnosis. However, the scarcity of medical image …