Cargando…
Prognostic role of computed tomography analysis using deep learning algorithm in patients with chronic hepatitis B viral infection
BACKGROUND/AIMS: The prediction of clinical outcomes in patients with chronic hepatitis B (CHB) is paramount for effective management. This study aimed to evaluate the prognostic value of computed tomography (CT) analysis using deep learning algorithms in patients with CHB. METHODS: This retrospecti...
Autores principales: | Yoo, Jeongin, Cho, Heejin, Lee, Dong Ho, Cho, Eun Ju, Joo, Ijin, Jeon, Sun Kyung |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Korean Association for the Study of the Liver
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10577347/ https://www.ncbi.nlm.nih.gov/pubmed/37822214 http://dx.doi.org/10.3350/cmh.2023.0190 |
Ejemplares similares
-
Reproducibility of ultrasound attenuation imaging for the noninvasive evaluation of hepatic steatosis
por: Yoo, Jeongin, et al.
Publicado: (2020) -
Assessment of liver fibrosis using 2-dimensional shear wave elastography: a prospective study of intra- and inter-observer repeatability and comparison with point shear wave elastography
por: Yoo, Jeongin, et al.
Publicado: (2020) -
Additional Value of Integrated (18)F-FDG PET/MRI for Evaluating Biliary Tract Cancer: Comparison with Contrast-Enhanced CT
por: Yoo, Jeongin, et al.
Publicado: (2021) -
Evaluation of the Impact of Iterative Reconstruction Algorithms on Computed Tomography Texture Features of the Liver Parenchyma Using the Filtration-Histogram Method
por: Sung, Pamela, et al.
Publicado: (2019) -
Deep Learning-Based Computed Tomography Image Standardization to Improve Generalizability of Deep Learning-Based Hepatic Segmentation
por: Lee, Seul Bi, et al.
Publicado: (2023)