Bone fracture detection using deep supervised learning from radiological images: A paradigm shift

T Meena, S Roy - Diagnostics, 2022 - mdpi.com
Bone diseases are common and can result in various musculoskeletal conditions (MC). An
estimated 1.71 billion patients suffer from musculoskeletal problems worldwide. Apart from …

[HTML][HTML] Artificial intelligence-based analysis of whole-body bone scintigraphy: The quest for the optimal deep learning algorithm and comparison with human …

G Hajianfar, M Sabouri, Y Salimi, M Amini… - … für Medizinische Physik, 2024 - Elsevier
Purpose Whole-body bone scintigraphy (WBS) is one of the most widely used modalities in
diagnosing malignant bone diseases during the early stages. However, the procedure is …

Artificial Intelligence in Bone Metastasis Analysis: Current Advancements, Opportunities and Challenges

M Afnouch, F Bougourzi, O Gaddour… - arXiv preprint arXiv …, 2024 - arxiv.org
In recent years, Artificial Intelligence (AI) has been widely used in medicine, particularly in
the analysis of medical imaging, which has been driven by advances in computer vision and …

[PDF][PDF] BIBLIOMETRIC ANALYSIS OF LIVER LESION AND LIVER TUMOR DETECTION WITH ARTIFICIAL INTELLIGENCE IN NUCLEAR MEDICINE

VORU AGBOR - 2021 - docs.neu.edu.tr
The ability to treat liver tumor metastases is highly depended on early detection. The use of
AI in medicine has made significant progress. This study aims to evaluate different …