Cargando…
Automated Breast Cancer Detection Models Based on Transfer Learning
Breast cancer is among the leading causes of mortality for females across the planet. It is essential for the well-being of women to develop early detection and diagnosis techniques. In mammography, focus has contributed to the use of deep learning (DL) models, which have been utilized by radiologis...
Autores principales: | Alruwaili, Madallah, Gouda, Walaa |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8838322/ https://www.ncbi.nlm.nih.gov/pubmed/35161622 http://dx.doi.org/10.3390/s22030876 |
Ejemplares similares
-
COVID-19 Diagnosis Using an Enhanced Inception-ResNetV2 Deep Learning Model in CXR Images
por: Alruwaili, Madallah, et al.
Publicado: (2021) -
Boosting Breast Cancer Detection Using Convolutional Neural Network
por: Alanazi, Saad Awadh, et al.
Publicado: (2021) -
Measuring and Preventing COVID-19 Using the SIR Model and Machine Learning in Smart Health Care
por: Alanazi, Saad Awadh, et al.
Publicado: (2020) -
Melanoma Detection Using Deep Learning-Based Classifications
por: Alwakid, Ghadah, et al.
Publicado: (2022) -
FAIR Health Informatics: A Health Informatics Framework for Verifiable and Explainable Data Analysis
por: Siddiqi, Muhammad Hameed, et al.
Publicado: (2023)