Cargando…
Artificial intelligence in gastric cancer: applications and challenges
Gastric cancer (GC) is one of the most common malignant tumors with high mortality. Accurate diagnosis and treatment decisions for GC rely heavily on human experts' careful judgments on medical images. However, the improvement of the accuracy is hindered by imaging conditions, limited experienc...
Autores principales: | Cao, Runnan, Tang, Lei, Fang, Mengjie, Zhong, Lianzhen, Wang, Siwen, Gong, Lixin, Li, Jiazheng, Dong, Di, Tian, Jie |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707405/ https://www.ncbi.nlm.nih.gov/pubmed/36457374 http://dx.doi.org/10.1093/gastro/goac064 |
Ejemplares similares
-
Pathological diagnosis and prognosis of Gastric cancer through a multi-instance learning method
por: Cao, Runnan, et al.
Publicado: (2021) -
Multiplanar MRI-Based Predictive Model for Preoperative Assessment of Lymph Node Metastasis in Endometrial Cancer
por: Xu, Xiaojuan, et al.
Publicado: (2019) -
Integrating No.3 lymph nodes and primary tumor radiomics to predict lymph node metastasis in T1-2 gastric cancer
por: Wang, Xiaoxiao, et al.
Publicado: (2021) -
A deep learning-based radiomic nomogram for prognosis and treatment decision in advanced nasopharyngeal carcinoma: A multicentre study
por: Zhong, Lianzhen, et al.
Publicado: (2021) -
Opportunities and challenges in application of artificial intelligence in pharmacology
por: Kumar, Mandeep, et al.
Publicado: (2023)