Optimized Breast Cancer Classification using Feature Selection and Outliers Detection
Breast cancer is the second most commonly diagnosed cancer in women throughout the world. It is on the rise, especially in developing countries, where the majority of cases are discovered late. Breast cancer develops when cancerous tumors form on the surface of the breast cells. The absence of accu...
Guardado en:
Autores principales: | A. B Yusuf, R. M Dima, S. K Aina |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nigerian Society of Physical Sciences
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/6ef25c2f3a4240c4ae37c931d13b9c1f |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Optical multiplexed bioassays on photonic crystals for breast cancer biomarker detection
por: Pileri Tommaso, et al.
Publicado: (2021) -
Optimal Evolutionary Control for Artificial Selection on Molecular Phenotypes
por: Armita Nourmohammad, et al.
Publicado: (2021) -
ECG Signal Detection and Classification of Heart Rhythm Diseases Based on ResNet and LSTM
por: Qiyang Xie, et al.
Publicado: (2021) -
Automated Classification of Breast Cancer Cells Using High-Throughput Holographic Cytometry
por: Cindy X. Chen, et al.
Publicado: (2021) -
An algebraic classification of solution generating techniques
por: Riccardo Borsato, et al.
Publicado: (2021)