Cargando…
Artificial Intelligence in Gastric Cancer Imaging With Emphasis on Diagnostic Imaging and Body Morphometry
Gastric cancer remains a significant global health concern, coercing the need for advancements in imaging techniques for ensuring accurate diagnosis and effective treatment planning. Artificial intelligence (AI) has emerged as a potent tool for gastric-cancer imaging, particularly for diagnostic ima...
Autores principales: | Kim, Kyung Won, Huh, Jimi, Urooj, Bushra, Lee, Jeongjin, Lee, Jinseok, Lee, In-Seob, Park, Hyesun, Na, Seongwon, Ko, Yousun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Korean Gastric Cancer Association
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10412978/ https://www.ncbi.nlm.nih.gov/pubmed/37553127 http://dx.doi.org/10.5230/jgc.2023.23.e30 |
Ejemplares similares
-
Prognostic artificial intelligence model to predict 5 year survival at 1 year after gastric cancer surgery based on nutrition and body morphometry
por: Chung, Heewon, et al.
Publicado: (2023) -
Development and validation of an ensemble artificial intelligence model for comprehensive imaging quality check to classify body parts and contrast enhancement
por: Na, Seongwon, et al.
Publicado: (2022) -
A Deep Residual U-Net Algorithm for Automatic Detection and Quantification of Ascites on Abdominopelvic Computed Tomography Images Acquired in the Emergency Department: Model Development and Validation
por: Ko, Hoon, et al.
Publicado: (2022) -
Recent Issues on Body Composition Imaging for Sarcopenia Evaluation
por: Lee, Koeun, et al.
Publicado: (2019) -
Artificial Intelligence in Cryo-Electron Microscopy
por: Chung, Jeong Min, et al.
Publicado: (2022)