Application of radiomics for the differential diagnosis of minimal-fat angiomyolipomas and other renal tumors: a review

Digital Diagnostics · Published 2026-06-29 · DOI 10.17816/dd693796

Free full text

Authors (3)

Daria E. Zolotova, E. A. Mershina, Liudmila A. Makovskaia

Abstract

PubPorta does not have an abstract for this article yet.

Read the article at the publisher →

Publication details

Year

2026

Citation

Zolotova, D., Mershina, E., Makovskaia, L. (2026). Application of radiomics for the differential diagnosis of minimal-fat angiomyolipomas and other renal tumors: a review. Digital Diagnostics. https://doi.org/10.17816/dd693796

Related articles

• CT angiography dataset with abdominal aorta segmentation · Digital Diagnostics · 2025 · Same journal
• Head and neck computed tomography dataset with lymph node assessment according to the Node-RADS classification · Digital Diagnostics · 2026 · Same journal
• Differential diagnosis of benign and malignant serous ovarian lesions using radiomics analysis of magnetic resonance imaging (T2WI and T1WI) by machine learning: a retrospective cross-sectional study · Digital Diagnostics · 2026 · Same journal
• Nonbacterial thrombotic endocarditis of the tricuspid valve with recurrent pulmonary embolism in a patient with pancreatic adenocarcinoma: a case report · Digital Diagnostics · 2025 · Same journal
• Diagnosis of thoracic aortic aneurysms and pathological pulmonary trunk dilation using chest computed tomography and artificial intelligence: modern approaches and prospects (a review) · Digital Diagnostics · 2025 · Same journal
• Experience of using machine learning to optimize renal replacement therapy: a review · Digital Diagnostics · 2025 · Same journal
• Diagnostic and prognostic relevance of imaging-based body composition analysis in postmenopausal women: a review · Digital Diagnostics · 2025 · Same journal
• Beyond skin deep: unraveling breast neurofibromatosis (a case report) · Digital Diagnostics · 2026 · Same journal
• Comparison of non-contrast magnetic resonance perfusion and phase-contrast angiography for the quantitative assessment of cerebral blood flow: a prospective cross-sectional study · Digital Diagnostics · 2025 · Same journal
• Application of artificial intelligence technologies in detecting adrenal neoplasms on computed tomography scans · Digital Diagnostics · 2025 · Same journal