A review and comparative study of cancer detection using machine learning: SBERT and SimCSE application

BACKGROUND: Using visual, biological, and electronic health records data as the sole input source, pretrained convolutional neural networks and conventional machine learning methods have been heavily employed for the identification of various malignancies. Initially, a series of preprocessing steps...

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Detalles Bibliográficos
Autores principales: Mokoatle, Mpho, Marivate, Vukosi, Mapiye, Darlington, Bornman, Riana, Hayes, Vanessa. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10037872/
https://www.ncbi.nlm.nih.gov/pubmed/36959534
http://dx.doi.org/10.1186/s12859-023-05235-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10037872/
https://www.ncbi.nlm.nih.gov/pubmed/36959534
http://dx.doi.org/10.1186/s12859-023-05235-x

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