AI-enhanced PET and MR imaging for patients with breast cancer Review
| Authors: | Romeo, V.; Moy, L.; Pinker, K. |
| Review Title: | AI-enhanced PET and MR imaging for patients with breast cancer |
| Keywords: | cancer chemotherapy; treatment response; review; area under the curve; cancer growth; nuclear magnetic resonance imaging; positron emission tomography; recurrence risk; magnetic resonance imaging; cancer diagnosis; sensitivity and specificity; sentinel lymph node biopsy; breast cancer; image analysis; pathology; diagnostic imaging; breast neoplasms; prediction; risk assessment; axillary lymph node; standardization; preoperative period; contrast enhancement; artificial intelligence; breast tumor; fluorodeoxyglucose f 18; positron-emission tomography; image processing; dynamic contrast-enhanced magnetic resonance imaging; multimodal imaging; procedures; apparent diffusion coefficient; machine learning; humans; human; female; deep learning; radiomics; positron emission tomography-computed tomography; mean transit time; pet/mr imaging; mean apparent diffusion coefficient |
| Journal Title: | PET Clinics |
| Volume: | 18 |
| Issue: | 4 |
| ISSN: | 1556-8598 |
| Publisher: | Elsevier Inc. |
| Date Published: | 2023-10-01 |
| Start Page: | 567 |
| End Page: | 575 |
| Language: | English |
| DOI: | 10.1016/j.cpet.2023.05.002 |
| PUBMED: | 37336693 |
| PROVIDER: | scopus |
| DOI/URL: | |
| Notes: | Source: Scopus |
