Vision transformer and explainable transfer learning models for auto detection of kidney cyst, stone and tumor from CT-radiography

Renal failure, a public health concern, and the scarcity of nephrologists around the globe have necessitated the development of an AI-based system to auto-diagnose kidney diseases. This research deals with the three major renal diseases categories: kidney stones, cysts, and tumors, and gathered and...

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Detalles Bibliográficos
Autores principales: Islam, Md Nazmul, Hasan, Mehedi, Hossain, Md. Kabir, Alam, Md. Golam Rabiul, Uddin, Md Zia, Soylu, Ahmet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9259587/
https://www.ncbi.nlm.nih.gov/pubmed/35794172
http://dx.doi.org/10.1038/s41598-022-15634-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9259587/
https://www.ncbi.nlm.nih.gov/pubmed/35794172
http://dx.doi.org/10.1038/s41598-022-15634-4

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