Cargando…
A Bottom-Up Review of Image Analysis Methods for Suspicious Region Detection in Mammograms
Breast cancer is one of the most common death causes amongst women all over the world. Early detection of breast cancer plays a critical role in increasing the survival rate. Various imaging modalities, such as mammography, breast MRI, ultrasound and thermography, are used to detect breast cancer. T...
Autores principales: | Oza, Parita, Sharma, Paawan, Patel, Samir, Bruno, Alessandro |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8466003/ https://www.ncbi.nlm.nih.gov/pubmed/34564116 http://dx.doi.org/10.3390/jimaging7090190 |
Ejemplares similares
-
Image Augmentation Techniques for Mammogram Analysis
por: Oza, Parita, et al.
Publicado: (2022) -
A Novel Solution Based on Scale Invariant Feature Transform Descriptors and Deep Learning for the Detection of Suspicious Regions in Mammogram Images
por: Bruno, Alessandro, et al.
Publicado: (2020) -
Simplifying Breast Imaging Reporting and Data System classification of mammograms with pure suspicious calcifications
por: Menezes, Gisela LG, et al.
Publicado: (2017) -
Identifying regions of interest in mammogram images
por: Jiang, Shu, et al.
Publicado: (2023) -
Integrating age, BMI, and serum N-glycans detected by MALDI mass spectrometry to classify suspicious mammogram findings as benign lesions or breast cancer
por: Blaschke, Calvin R. K., et al.
Publicado: (2022)