Cargando…
An Integrated Intelligent System for Breast Cancer Detection at Early Stages Using IR Images and Machine Learning Methods with Explainability
Breast cancer is the second most common cause of death among women. An early diagnosis is vital for reducing the fatality rate in the fight against breast cancer. Thermography could be suggested as a safe, non-invasive, non-contact supplementary method to diagnose breast cancer and can be the most p...
Autores principales: | Aidossov, Nurduman, Zarikas, Vasilios, Zhao, Yong, Mashekova, Aigerim, Ng, Eddie Yin Kwee, Mukhmetov, Olzhas, Mirasbekov, Yerken, Omirbayev, Aldiyar |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Nature Singapore
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9888345/ https://www.ncbi.nlm.nih.gov/pubmed/36742416 http://dx.doi.org/10.1007/s42979-022-01536-9 |
Ejemplares similares
-
Explainable Risk Prediction of Post-Stroke Adverse Mental Outcomes Using Machine Learning Techniques in a Population of 1780 Patients
por: Oei, Chien Wei, et al.
Publicado: (2023) -
Binary Black Hole Information Loss Paradox and Future Prospects
por: Mitra, Ayan, et al.
Publicado: (2020) -
Bound on Efficiency of Heat Engine from Uncertainty Relation Viewpoint
por: Chattopadhyay, Pritam, et al.
Publicado: (2021) -
Extreme Electron Acceleration with Fixed Radiation Energy
por: Good, Michael R. R., et al.
Publicado: (2022) -
Clustering analysis of countries using the COVID-19 cases dataset
por: Zarikas, Vasilios, et al.
Publicado: (2020)