Radiomics in breast cancer classification and prediction
Breast Cancer (BC) is the common form of cancer in women. Its diagnosis and screening are
usually performed through different imaging modalities such as mammography, magnetic …
usually performed through different imaging modalities such as mammography, magnetic …
Radiomics: from qualitative to quantitative imaging
W Rogers, S Thulasi Seetha… - The British journal of …, 2020 - academic.oup.com
Historically, medical imaging has been a qualitative or semi-quantitative modality. It is
difficult to quantify what can be seen in an image, and to turn it into valuable predictive …
difficult to quantify what can be seen in an image, and to turn it into valuable predictive …
[HTML][HTML] Radiomics for precision medicine: Current challenges, future prospects, and the proposal of a new framework
The advancement of artificial intelligence concurrent with the development of medical
imaging techniques provided a unique opportunity to turn medical imaging from mostly …
imaging techniques provided a unique opportunity to turn medical imaging from mostly …
Radiomics: a new application from established techniques
The increasing use of biomarkers in cancer have led to the concept of personalized
medicine for patients. Personalized medicine provides better diagnosis and treatment …
medicine for patients. Personalized medicine provides better diagnosis and treatment …
Radiomics signature on magnetic resonance imaging: association with disease-free survival in patients with invasive breast cancer
Purpose: To develop a radiomics signature based on preoperative MRI to estimate disease-
free survival (DFS) in patients with invasive breast cancer and to establish a radiomics …
free survival (DFS) in patients with invasive breast cancer and to establish a radiomics …
Radiomics in breast MRI: Current progress toward clinical application in the era of artificial intelligence
H Satake, S Ishigaki, R Ito, S Naganawa - La radiologia medica, 2022 - Springer
Breast magnetic resonance imaging (MRI) is the most sensitive imaging modality for breast
cancer diagnosis and is widely used clinically. Dynamic contrast-enhanced MRI is the basis …
cancer diagnosis and is widely used clinically. Dynamic contrast-enhanced MRI is the basis …
Breast cancer heterogeneity: MR imaging texture analysis and survival outcomes
JH Kim, ES Ko, Y Lim, KS Lee, BK Han, EY Ko… - Radiology, 2017 - pubs.rsna.org
Purpose To determine the relationship between tumor heterogeneity assessed by means of
magnetic resonance (MR) imaging texture analysis and survival outcomes in patients with …
magnetic resonance (MR) imaging texture analysis and survival outcomes in patients with …
A robust and efficient AI assistant for breast tumor segmentation from DCE-MRI via a spatial-temporal framework
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) allows screening,
follow up, and diagnosis for breast tumor with high sensitivity. Accurate tumor segmentation …
follow up, and diagnosis for breast tumor with high sensitivity. Accurate tumor segmentation …
How radiomics can improve breast cancer diagnosis and treatment
F Pesapane, P De Marco, A Rapino… - Journal of Clinical …, 2023 - mdpi.com
Recent technological advances in the field of artificial intelligence hold promise in
addressing medical challenges in breast cancer care, such as early diagnosis, cancer …
addressing medical challenges in breast cancer care, such as early diagnosis, cancer …
Integrated radiomic framework for breast cancer and tumor biology using advanced machine learning and multiparametric MRI
Radiomics deals with the high throughput extraction of quantitative textural information from
radiological images that not visually perceivable by radiologists. However, the biological …
radiological images that not visually perceivable by radiologists. However, the biological …