Cargando…
Automatic detection and classification of lung cancer CT scans based on deep learning and ebola optimization search algorithm
Recently, research has shown an increased spread of non-communicable diseases such as cancer. Lung cancer diagnosis and detection has become one of the biggest obstacles in recent years. Early lung cancer diagnosis and detection would reliably promote safety and the survival of many lives globally....
Autores principales: | Mohamed, Tehnan I. A., Oyelade, Olaide N., Ezugwu, Absalom E. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10434933/ https://www.ncbi.nlm.nih.gov/pubmed/37590282 http://dx.doi.org/10.1371/journal.pone.0285796 |
Ejemplares similares
-
Immunity-based Ebola optimization search algorithm for minimization of feature extraction with reduction in digital mammography using CNN models
por: Oyelade, Olaide N., et al.
Publicado: (2022) -
Evolutionary binary feature selection using adaptive ebola optimization search algorithm for high-dimensional datasets
por: Oyelade, Olaide N., et al.
Publicado: (2023) -
A bioinspired neural architecture search based convolutional neural network for breast cancer detection using histopathology images
por: Oyelade, Olaide N., et al.
Publicado: (2021) -
A hybrid binary dwarf mongoose optimization algorithm with simulated annealing for feature selection on high dimensional multi-class datasets
por: Akinola, Olatunji A., et al.
Publicado: (2022) -
A case-based reasoning framework for early detection and diagnosis of novel coronavirus
por: Oyelade, Olaide N., et al.
Publicado: (2020)