Integrating deep learning in breast MRI: Technical advances and clinical promise Editorial
| Authors: | Arita, Y.; Nissan, N. |
| Title: | Integrating deep learning in breast MRI: Technical advances and clinical promise |
| Keywords: | treatment response; nuclear magnetic resonance imaging; magnetic resonance imaging; diagnostic accuracy; editorial; breast neoplasms; mammography; image enhancement; early diagnosis; contrast enhancement; breast tumor; diagnosis; neoadjuvant chemotherapy; estrogen receptor; progesterone receptor; diffusion weighted imaging; breast magnetic resonance imaging; triple negative breast cancer; apparent diffusion coefficient; advanced breast cancer; multiparametric magnetic resonance imaging; human; deep learning; radiomics; convolutional neural network; two-dimensional imaging; doctor patient relationship; mean transit time; large language model |
| Journal Title: | Academic Radiology |
| Volume: | 32 |
| Issue: | 6 |
| ISSN: | 1076-6332 |
| Publisher: | Elsevier Science, Inc. |
| Date Published: | 2025-06-01 |
| Start Page: | 3157 |
| End Page: | 3159 |
| Language: | English |
| DOI: | 10.1016/j.acra.2025.03.047 |
| PUBMED: | 40169328 |
| PROVIDER: | scopus |
| DOI/URL: | |
| Notes: | Editorial -- Source: Scopus |
