Cargando…
Image Features of Resting-State Functional Magnetic Resonance Imaging in Evaluating Poor Emotion and Sleep Quality in Patients with Chronic Pain under Artificial Intelligence Algorithm
The balanced iterative reducing and clustering using hierarchies (BIRCH) method was adopted to optimize the results of the resting-state functional magnetic resonance imaging (RS-fMRI) to analyze the changes in the brain function of patients with chronic pain accompanied by poor emotion or abnormal...
Autores principales: | Yang, Shuqin, Bie, Xiaoyan, Wang, Yanmei, Li, Junnan, Wang, Yujing, Sun, Xiaoyan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8752300/ https://www.ncbi.nlm.nih.gov/pubmed/35069042 http://dx.doi.org/10.1155/2022/5002754 |
Ejemplares similares
-
Artificial Intelligence Algorithm in Classification and Recognition of Primary Hepatic Carcinoma Images under Magnetic Resonance Imaging
por: He, Zehua, et al.
Publicado: (2022) -
Diagnosis and Nursing Intervention of Gynecological Ovarian Endometriosis with Magnetic Resonance Imaging under Artificial Intelligence Algorithm
por: Jiang, Nijie, et al.
Publicado: (2022) -
Recent Advances in Explainable Artificial Intelligence for Magnetic Resonance Imaging
por: Qian, Jinzhao, et al.
Publicado: (2023) -
Editorial: Artificial intelligence in digital pathology image analysis
por: Liu, Yi, et al.
Publicado: (2023) -
Dark-Lumen Magnetic Resonance Image Based on Artificial Intelligence Algorithm in Differential Diagnosis of Colon Cancer
por: Fang, Yujie, et al.
Publicado: (2022)