Cargando…
Breast Cancer Dataset, Classification and Detection Using Deep Learning
Incorporating scientific research into clinical practice via clinical informatics, which includes genomics, proteomics, bioinformatics, and biostatistics, improves patients’ treatment. Computational pathology is a growing subspecialty with the potential to integrate whole slide images, multi-omics d...
Autores principales: | Iqbal, Muhammad Shahid, Ahmad, Waqas, Alizadehsani, Roohallah, Hussain, Sadiq, Rehman, Rizwan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9778593/ https://www.ncbi.nlm.nih.gov/pubmed/36553919 http://dx.doi.org/10.3390/healthcare10122395 |
Ejemplares similares
-
Epileptic Seizures Detection in EEG Signals Using Fusion Handcrafted and Deep Learning Features
por: Malekzadeh, Anis, et al.
Publicado: (2021) -
Detection of Breast Cancer Using Histopathological Image Classification Dataset with Deep Learning Techniques
por: Reshma, V. K., et al.
Publicado: (2022) -
Epileptic Seizures Detection Using Deep Learning Techniques: A Review
por: Shoeibi, Afshin, et al.
Publicado: (2021) -
Detection of Fake News Text Classification on COVID-19 Using Deep Learning Approaches
por: Bangyal, Waqas Haider, et al.
Publicado: (2021) -
Objective evaluation of deep uncertainty predictions for COVID-19 detection
por: Asgharnezhad, Hamzeh, et al.
Publicado: (2022)