AI-Assisted Detection and Localization of Spinal Metastatic Lesions
Objectives: The integration of machine learning and radiomics in medical imaging has significantly advanced diagnostic and prognostic capabilities in healthcare. This study focuses on developing and validating an artificial intelligence (AI) model using U-Net architectures for the accurate detection...
Saved in:
| Main Authors: | Edgars Edelmers, Artūrs Ņikuļins, Klinta Luīze Sprūdža, Patrīcija Stapulone, Niks Saimons Pūce, Elizabete Skrebele, Everita Elīna Siņicina, Viktorija Cīrule, Ance Kazuša, Katrina Boločko |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Diagnostics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-4418/14/21/2458 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Adapting Classification Neural Network Architectures for Medical Image Segmentation Using Explainable AI
by: Arturs Nikulins, et al.
Published: (2025-02-01) -
A Robust Scheme of Vertebrae Segmentation for Medical Diagnosis
by: Faisal Rehman, et al.
Published: (2019-01-01) -
Convolutional Neural Network-Based Approach for Cobb Angle Measurement Using Mask R-CNN
by: Marcos Villar García, et al.
Published: (2025-04-01) -
Preliminary application of a cervical vertebra segmentation method based on Transformer and diffusion model for lateral cephalometric radiographs in orthodontic clinical practice
by: LIU Yang, et al.
Published: (2024-12-01) -
Vertebra CT Image Segmentation Method Based on Improved U-Net Model
by: LIU Xia, et al.
Published: (2021-06-01)