Three-class brain tumor classification using deep dense inception residual network

Three-class brain tumor classification becomes a contemporary research task due to the distinct characteristics of tumors. The existing proposals employ deep neural networks for the three-class classification. However, achieving high accuracy is still an endless challenge in brain image classificati...

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Detalles Bibliográficos
Autores principales: Kokkalla, Srinath, Kakarla, Jagadeesh, Venkateswarlu, Isunuri B., Singh, Munesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Data Analytics and Machine Learning
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8051839/
https://www.ncbi.nlm.nih.gov/pubmed/33897297
http://dx.doi.org/10.1007/s00500-021-05748-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8051839/
https://www.ncbi.nlm.nih.gov/pubmed/33897297
http://dx.doi.org/10.1007/s00500-021-05748-8

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