Cargando…
Raman spectral pattern recognition of breast cancer: A machine learning strategy based on feature fusion and adaptive hyperparameter optimization
Raman spectroscopy, as a kind of molecular vibration spectroscopy, provides abundant information for measuring components and molecular structure in the early detection and diagnosis of breast cancer. Currently, portable Raman spectrometers have simplified and made equipment application more afforda...
Autores principales: | Li, Qingbo, Zhang, Zhixiang, Ma, Zhenhe |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10368853/ https://www.ncbi.nlm.nih.gov/pubmed/37501962 http://dx.doi.org/10.1016/j.heliyon.2023.e18148 |
Ejemplares similares
-
Machine Learning-Based Boosted Regression Ensemble Combined with Hyperparameter Tuning for Optimal Adaptive Learning
por: Isabona, Joseph, et al.
Publicado: (2022) -
Adaptive hyperparameter updating for training restricted Boltzmann machines on quantum annealers
por: Xu, Guanglei, et al.
Publicado: (2021) -
Improving Genomic Prediction with Machine Learning Incorporating TPE for Hyperparameters Optimization
por: Liang, Mang, et al.
Publicado: (2022) -
Stressed Speech Emotion Recognition Using Teager Energy and Spectral Feature Fusion with Feature Optimization
por: Bandela, Surekha Reddy, et al.
Publicado: (2023) -
Integrated Evolutionary Learning: An Artificial Intelligence Approach to Joint Learning of Features and Hyperparameters for Optimized, Explainable Machine Learning
por: de Lacy, Nina, et al.
Publicado: (2022)