Cargando…
Exploration and Enhancement of Classifiers in the Detection of Lung Cancer from Histopathological Images
Lung cancer is a prevalent malignancy that impacts individuals of all genders and is often diagnosed late due to delayed symptoms. To catch it early, researchers are developing algorithms to study lung cancer images. The primary objective of this work is to propose a novel approach for the detection...
Autores principales: | Shanmugam, Karthikeyan, Rajaguru, Harikumar |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606104/ https://www.ncbi.nlm.nih.gov/pubmed/37892110 http://dx.doi.org/10.3390/diagnostics13203289 |
Ejemplares similares
-
Detection of Diabetes through Microarray Genes with Enhancement of Classifiers Performance
por: Chellappan, Dinesh, et al.
Publicado: (2023) -
Evaluation and Exploration of Machine Learning and Convolutional Neural Network Classifiers in Detection of Lung Cancer from Microarray Gene—A Paradigm Shift
por: M S, Karthika, et al.
Publicado: (2023) -
Machine Learning Techniques for the Performance Enhancement of Multiple Classifiers in the Detection of Cardiovascular Disease from PPG Signals
por: Palanisamy, Sivamani, et al.
Publicado: (2023) -
Enhancement of Classifier Performance Using Swarm Intelligence in Detection of Diabetes from Pancreatic Microarray Gene Data
por: Chellappan, Dinesh, et al.
Publicado: (2023) -
Lung Cancer Detection using Probabilistic Neural Network with modified Crow-Search Algorithm
por: S R, Sannasi Chakravarthy, et al.
Publicado: (2019)