Artificial intelligence in breast imaging
This article reviews current limitations and future opportunities for the application of
computer-aided detection (CAD) systems and artificial intelligence in breast imaging …
computer-aided detection (CAD) systems and artificial intelligence in breast imaging …
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 …
Impact of machine learning with multiparametric magnetic resonance imaging of the breast for early prediction of response to neoadjuvant chemotherapy and survival …
A Tahmassebi, GJ Wengert, TH Helbich… - Investigative …, 2019 - journals.lww.com
Purpose The aim of this study was to assess the potential of machine learning with
multiparametric magnetic resonance imaging (mpMRI) for the early prediction of …
multiparametric magnetic resonance imaging (mpMRI) for the early prediction of …
Multivariate machine learning models for prediction of pathologic response to neoadjuvant therapy in breast cancer using MRI features: a study using an independent …
Purpose To determine whether a multivariate machine learning-based model using
computer-extracted features of pre-treatment dynamic contrast-enhanced magnetic …
computer-extracted features of pre-treatment dynamic contrast-enhanced magnetic …
Machine learning in breast MRI
Machine‐learning techniques have led to remarkable advances in data extraction and
analysis of medical imaging. Applications of machine learning to breast MRI continue to …
analysis of medical imaging. Applications of machine learning to breast MRI continue to …
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 …
Radiomic analysis of DCE-MRI for prediction of response to neoadjuvant chemotherapy in breast cancer patients
M Fan, G Wu, H Cheng, J Zhang, G Shao… - European journal of …, 2017 - Elsevier
Objectives To enhance the accurate prediction of the response to neoadjuvant
chemotherapy (NAC) in breast cancer patients by using a quantitative analysis of dynamic …
chemotherapy (NAC) in breast cancer patients by using a quantitative analysis of dynamic …
A two-step convolutional neural network based computer-aided detection scheme for automatically segmenting adipose tissue volume depicting on CT images
Accurately assessment of adipose tissue volume inside a human body plays an important
role in predicting disease or cancer risk, diagnosis and prognosis. In order to overcome …
role in predicting disease or cancer risk, diagnosis and prognosis. In order to overcome …
[HTML][HTML] Machine learning with multiparametric magnetic resonance imaging of the breast for early prediction of response to neoadjuvant chemotherapy
In patients with locally advanced breast cancer undergoing neoadjuvant chemotherapy
(NAC), some patients achieve a complete pathologic response (pCR), some achieve a …
(NAC), some patients achieve a complete pathologic response (pCR), some achieve a …
Artificial intelligence-enhanced breast MRI: applications in breast cancer primary treatment response assessment and prediction
RL Gullo, E Marcus, J Huayanay… - Investigative …, 2024 - journals.lww.com
Primary systemic therapy (PST) is the treatment of choice in patients with locally advanced
breast cancer and is nowadays also often used in patients with early-stage breast cancer …
breast cancer and is nowadays also often used in patients with early-stage breast cancer …