ColoRectalCADx: Expeditious Recognition of Colorectal Cancer with Integrated Convolutional Neural Networks and Visual Explanations Using Mixed Dataset Evidence

Colorectal cancer typically affects the gastrointestinal tract within the human body. Colonoscopy is one of the most accurate methods of detecting cancer. The current system facilitates the identification of cancer by computer-assisted diagnosis (CADx) systems with a limited number of deep learning...

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Detalles Bibliográficos
Autores principales: Narasimha Raju, Akella S., Jayavel, Kayalvizhi, Rajalakshmi, T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9671728/
https://www.ncbi.nlm.nih.gov/pubmed/36404909
http://dx.doi.org/10.1155/2022/8723957

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9671728/
https://www.ncbi.nlm.nih.gov/pubmed/36404909
http://dx.doi.org/10.1155/2022/8723957

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