Cargando…
Deep Learning Approaches in Histopathology
SIMPLE SUMMARY: Artificial intelligence techniques have changed the traditional way of diagnosis. The physicians’ consultation decisions can now be supported with a particular algorithm that is beneficial for the patient in terms of accuracy and time saved. Many deep learning and machine learning al...
Autores principales: | Ahmed, Alhassan Ali, Abouzid, Mohamed, Kaczmarek, Elżbieta |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9654172/ https://www.ncbi.nlm.nih.gov/pubmed/36358683 http://dx.doi.org/10.3390/cancers14215264 |
Ejemplares similares
-
Perception of Pathologists in Poland of Artificial Intelligence and Machine Learning in Medical Diagnosis—A Cross-Sectional Study
por: Ahmed, Alhassan Ali, et al.
Publicado: (2023) -
New approach in SARS-CoV-2 surveillance using biosensor technology: a review
por: El-Sherif, Dina M., et al.
Publicado: (2021) -
Deep Learning Approaches and Applications in Toxicologic Histopathology: Current Status and Future Perspectives
por: Mehrvar, Shima, et al.
Publicado: (2021) -
Telehealth and Artificial Intelligence Insights into Healthcare during the COVID-19 Pandemic
por: El-Sherif, Dina M., et al.
Publicado: (2022) -
Recent Advances of Deep Learning for Computational Histopathology: Principles and Applications
por: Wu, Yawen, et al.
Publicado: (2022)