Cargando…
Classification and Detection of Mesothelioma Cancer Using Feature Selection-Enabled Machine Learning Technique
Cancer of the mesothelium, sometimes referred to as malignant mesothelioma (MM), is an extremely uncommon form of the illness that almost always results in death. Chemotherapy, surgery, radiation therapy, and immunotherapy are all potential treatments for multiple myeloma; however, the majority of p...
Autores principales: | Shobana, M., Balasraswathi, V. R., Radhika, R., Oleiwi, Ahmed Kareem, Chaudhury, Sushovan, Ladkat, Ajay S., Naved, Mohd, Rahmani, Abdul Wahab |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9348925/ https://www.ncbi.nlm.nih.gov/pubmed/35937383 http://dx.doi.org/10.1155/2022/9900668 |
Ejemplares similares
-
Machine Learning Based on Morphological Features Enables Classification of Primary Intestinal T-Cell Lymphomas
por: Yu, Wei-Hsiang, et al.
Publicado: (2021) -
Machine Learning and Image Processing Enabled Evolutionary Framework for Brain MRI Analysis for Alzheimer's Disease Detection
por: Kamal, Mustafa, et al.
Publicado: (2022) -
The classification of movement intention through machine learning models: the identification of significant time-domain EMG features
por: Mohd Khairuddin, Ismail, et al.
Publicado: (2021) -
Development of mesothelioma-specific oncolytic immunotherapy enabled by immunopeptidomics of murine and human mesothelioma tumors
por: Chiaro, Jacopo, et al.
Publicado: (2023) -
A Comparative Evaluation of Cancer Classification via TP53 Gene Mutations Using Machin Learning
por: Mikhail, Dina Yousif, et al.
Publicado: (2022)