The Role of Artificial Intelligence in Advancing Breast Cancer Detection Using Different Imaging Modalities: A Systematic Review

M Madani, MM Behzadi, S Nabavi - 2022 - preprints.org
Breast cancer is among the most common and fatal diseases for women, and no permanent
treatment has been discovered. Thus, early detection is a crucial step to control and cure …

Deep Learning for Predicting Breast Cancer: A Systematic Review of Progress and Future Directions

S Sharma - 2023 - researchsquare.com
Breast cancer prediction is a critical area of research aimed at improving early detection and
enhancing treatment strategies. Considering the fast development of Machine Learning …

Kinetic heterogeneity is associated with axillary lymph node metastasis in cN0 breast cancer based on dynamic contrast-enhanced magnetic resonance imaging …

T Shen, D Ye, M Yao, J Yan, H Zhang, S Sun - 2024 - researchsquare.com
Background To investigate whether kinetic heterogeneity, assessed via dynamic contrast-
enhanced magnetic resonance imaging (DCE-MRI)-based radiomics nomogram, associated …

[HTML][HTML] MR-radiomic-based pathological response prediction to neoadjuvant chemotherapy in breast cancer

M FEDON VOCATURO - thesis.unipd.it
In the evolving landscape of artificial intelligence (AI) and personalized medicine, the
significance of employing supervised and unsupervised learning techniques has surged …

[引用][C] The Role of Deep Learning in Advancing Breast Cancer Detection Using Different Imaging Modalities: A Systematic Review. Cancers. MDPI AG; 2022; 14 (21) …

M Madani, MM Behzadi, S Nabavi - 2022 - europepmc.org
Breast cancer is among the most common and fatal diseases for women, and no permanent
treatment has been discovered. Thus, early detection is a crucial step to control and cure …

[引用][C] Editorial for “3D Breast Cancer Segmentation in DCE‐MRI Using Deep Learning With Weak Annotation”

L Nogueira, N Adubeiro… - Journal of Magnetic …, 2024 - Wiley Online Library