Development of image-based method for the quantitative assessment of cartilage damage from CT as a biomarker in osteoarthritis
<p>Preclinical studies, like those for drug development, require quantitative methods to assess osteoarthritis (OA). In OA, cartilage damage and subchondral bone deformations are critical indicators. Therefore, this thesis introduces and validates two innovative frameworks for automated OA ass...
Autor principal: | Zheng, J-Q |
---|---|
Outros Autores: | Vincent, T |
Formato: | Tese |
Idioma: | English |
Publicado em: |
2024
|
Assuntos: |
Registros relacionados
-
Explicit–implicit symmetric diffeomorphic deformable image registration with convolutional neural network
por: Longhao Li, et al.
Publicado em: (2024-11-01) -
Real-Time Automated Segmentation and Classification of Calcaneal Fractures in CT Images
por: Wahyu Rahmaniar, et al.
Publicado em: (2019-07-01) -
Feature ensemble network for medical image segmentation with multi‐scale atrous transformer
por: Di Gai, et al.
Publicado em: (2024-09-01) -
Phase-Based Nonrigid Deformation for Digital Subtraction Angiography
por: Soochahn Lee, et al.
Publicado em: (2019-01-01) -
Calibration‐Jitter: Augmentation of hyperspectral data for improved surgical scene segmentation
por: Alfie Roddan, et al.
Publicado em: (2024-12-01)