Cargando…
Predicting Recurrence of Non-Muscle-Invasive Bladder Cancer: Current Techniques and Future Trends
SIMPLE SUMMARY: Non-muscle-invasive bladder cancer is associated with its high rates of progression and recurrence, the proper diagnosis and management can save lives. Bladder cancer is the tenth most common type of cancer in the world. This review discusses the current markers used in the recurrenc...
Autores principales: | Shalata, Aya T., Shehata, Mohamed, Van Bogaert, Eric, Ali, Khadiga M., Alksas, Ahmed, Mahmoud, Ali, El-Gendy, Eman M., Mohamed, Mohamed A., Giridharan, Guruprasad A., Contractor, Sohail, El-Baz, Ayman |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9599984/ https://www.ncbi.nlm.nih.gov/pubmed/36291803 http://dx.doi.org/10.3390/cancers14205019 |
Ejemplares similares
-
Exploring Neoadjuvant Chemotherapy, Predictive Models, Radiomic, and Pathological Markers in Breast Cancer: A Comprehensive Review
por: Elsayed, Basma, et al.
Publicado: (2023) -
The Role of Radiomics and AI Technologies in the Segmentation, Detection, and Management of Hepatocellular Carcinoma
por: Fahmy, Dalia, et al.
Publicado: (2022) -
A novel computer-aided diagnostic system for accurate detection and grading of liver tumors
por: Alksas, Ahmed, et al.
Publicado: (2021) -
Role of AI and Radiomic Markers in Early Diagnosis of Renal Cancer and Clinical Outcome Prediction: A Brief Review
por: Shehata, Mohamed, et al.
Publicado: (2023) -
Clinical applications of artificial intelligence and radiomics in neuro-oncology imaging
por: Abdel Razek, Ahmed Abdel Khalek, et al.
Publicado: (2021)