Cargando…
AI in Breast Cancer Imaging: A Survey of Different Applications
Breast cancer was the most diagnosed cancer in 2020. Several thousand women continue to die from this disease. A better and earlier diagnosis may be of great importance to improving prognosis, and that is where Artificial Intelligence (AI) could play a major role. This paper surveys different applic...
Autores principales: | Mendes, João, Domingues, José, Aidos, Helena, Garcia, Nuno, Matela, Nuno |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9502309/ https://www.ncbi.nlm.nih.gov/pubmed/36135394 http://dx.doi.org/10.3390/jimaging8090228 |
Ejemplares similares
-
Breast Cancer Risk Assessment: A Review on Mammography-Based Approaches
por: Mendes, João, et al.
Publicado: (2021) -
Avoiding Tissue Overlap in 2D Images: Single-Slice DBT Classification Using Convolutional Neural Networks
por: Mendes, João, et al.
Publicado: (2023) -
Digital Breast Tomosynthesis: Towards Dose Reduction through Image Quality Improvement
por: Mota, Ana M., et al.
Publicado: (2023) -
Make It Less Complex: Autoencoder for Speckle Noise Removal—Application to Breast and Lung Ultrasound
por: Oliveira-Saraiva, Duarte, et al.
Publicado: (2023) -
Automatic Classification of Simulated Breast Tomosynthesis Whole Images for the Presence of Microcalcification Clusters Using Deep CNNs
por: Mota, Ana M., et al.
Publicado: (2022)