Cargando…
Clinical Decision Support Systems for Brain Tumour Diagnosis and Prognosis: A Systematic Review
SIMPLE SUMMARY: Brain tumours are abnormal growth of cells in the human brain. Continuous effort is being made towards improving diagnosis and treatment options for such brain neoplasms. Manual classification and segmentation of imaging scans are tedious, time-consuming, and subjective. Over the las...
Autores principales: | Mukherjee, Teesta, Pournik, Omid, Lim Choi Keung, Sarah N., Arvanitis, Theodoros N. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10341227/ https://www.ncbi.nlm.nih.gov/pubmed/37444633 http://dx.doi.org/10.3390/cancers15133523 |
Ejemplares similares
-
Magnetic resonance image-based brain tumour segmentation methods: A systematic review
por: Bhalodiya, Jayendra M, et al.
Publicado: (2022) -
Generating prior probabilities for classifiers of brain tumours using belief networks
por: Reynolds, Greg M, et al.
Publicado: (2007) -
Diabetes and the direct secondary use of electronic health records:
Using routinely collected and stored data to drive research and
understanding
por: Robbins, Tim, et al.
Publicado: (2018) -
Application of standardised effect sizes to hospital discharge outcomes for people with diabetes
por: Robbins, Tim, et al.
Publicado: (2020) -
Association between glycosylated haemoglobin and outcomes for
patients discharged from hospital with diabetes: A health informatics
approach
por: Robbins, Tim, et al.
Publicado: (2021)