Cargando…
Comparative performance analysis of binary variants of FOX optimization algorithm with half-quadratic ensemble ranking method for thyroid cancer detection
Thyroid cancer is a life-threatening condition that arises from the cells of the thyroid gland located in the neck’s frontal region just below the adam’s apple. While it is not as prevalent as other types of cancer, it ranks prominently among the commonly observed cancers affecting the endocrine sys...
Autores principales: | Sharma, Rohit, Mahanti, Gautam Kumar, Panda, Ganapati, Rath, Adyasha, Dash, Sujata, Mallik, Saurav, Zhao, Zhongming |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10638362/ https://www.ncbi.nlm.nih.gov/pubmed/37950041 http://dx.doi.org/10.1038/s41598-023-46865-8 |
Ejemplares similares
-
A Framework for Detecting Thyroid Cancer from Ultrasound and Histopathological Images Using Deep Learning, Meta-Heuristics, and MCDM Algorithms
por: Sharma, Rohit, et al.
Publicado: (2023) -
Imbalanced ECG signal-based heart disease classification using ensemble machine learning technique
por: Rath, Adyasha, et al.
Publicado: (2022) -
Binary quadratic forms: an algorithmic approach
por: Buchmann, Johannes, et al.
Publicado: (2007) -
In silico ranking of phenolics for therapeutic effectiveness on cancer stem cells
por: Mandal, Monalisa, et al.
Publicado: (2020) -
Binary quadratic forms: classical theory and modern computations
por: Buell, Duncan A
Publicado: (1989)