Current state of artificial intelligence in clinical applications for head and neck MR imaging
Due primarily to the excellent soft tissue contrast depictions provided by MRI, the
widespread application of head and neck MRI in clinical practice serves to assess various …
widespread application of head and neck MRI in clinical practice serves to assess various …
Artificial Intelligence in Neuroradiology: A Review of Current Topics and Competition Challenges
DT Wagner, L Tilmans, K Peng, M Niedermeier, M Rohl… - Diagnostics, 2023 - mdpi.com
There is an expanding body of literature that describes the application of deep learning and
other machine learning and artificial intelligence methods with potential relevance to …
other machine learning and artificial intelligence methods with potential relevance to …
New Insights into Cervicofacial Vascular Anomalies
D Vrinceanu, M Dumitru, A Marinescu… - Journal of Clinical …, 2024 - mdpi.com
Congenital cervicofacial vascular anomalies are extremely rare and present many difficulties
in diagnosis and treatment requiring a multidisciplinary approach. Firstly, there is little …
in diagnosis and treatment requiring a multidisciplinary approach. Firstly, there is little …
[HTML][HTML] Fully Automated Detection of the Appendix Using U-Net Deep Learning Architecture in CT Scans
Background: The accurate segmentation of the appendix with well-defined boundaries is
critical for diagnosing conditions such as acute appendicitis. The manual identification of the …
critical for diagnosing conditions such as acute appendicitis. The manual identification of the …
Deep learning-based differentiation of peripheral high-flow and low-flow vascular malformations in T2-weighted short tau inversion recovery MRI
S Hammer, DW Nunes, M Hammer… - Clinical …, 2024 - content.iospress.com
BACKGROUND: Differentiation of high-flow from low-flow vascular malformations (VMs) is
crucial for therapeutic management of this orphan disease. OBJECTIVE: A convolutional …
crucial for therapeutic management of this orphan disease. OBJECTIVE: A convolutional …
[PDF][PDF] Hidden Markov Random Field Model Based VGG-16 for Segmentation and Classification of Head and Neck Cancer.
The head and neck squamous cell carcinoma (HNSCC) is a group of malignant tumors that
typically originates in squamous cells lining mucous membranes of head and neck regions …
typically originates in squamous cells lining mucous membranes of head and neck regions …