Copyright
©The Author(s) 2020.
Artif Intell Med Imaging. Sep 28, 2020; 1(3): 87-93
Published online Sep 28, 2020. doi: 10.35711/aimi.v1.i3.87
Published online Sep 28, 2020. doi: 10.35711/aimi.v1.i3.87
Clinical application | Oncologic field | Imaging modality | AI technique |
Clinical-radiological workflow | Breast cancer[9] | Mammography | ML |
Image acquisition[10,11] | CT, MRI | DL | |
Cancer detection | Breast cancer[12,13] | Mammography | DL |
Lung cancer[14] | X-Ray, CT | DL | |
Tumor segmentation | Breast Cancer[17,18] | MRI | DL |
Tumor characterization | Adrenal cancer[20] | MRI | ML |
Renal cancer[21] | MRI | ML | |
Lung cancer[22] | CT | ML | |
Tumor staging | Head and neck cancer[23] | CT | ML |
Endometrial cancer[24] | MRI | ML | |
Treatment monitoring | Breast cancer [26] | MRI | ML |
- Citation: Verde F, Romeo V, Stanzione A, Maurea S. Current trends of artificial intelligence in cancer imaging. Artif Intell Med Imaging 2020; 1(3): 87-93
- URL: https://www.wjgnet.com/2644-3260/full/v1/i3/87.htm
- DOI: https://dx.doi.org/10.35711/aimi.v1.i3.87