Dense Convolutional Neural Network for Detection of Cancer from CT Images

In this paper, we develop a detection module with strong training testing to develop a dense convolutional neural network model. The model is designed in such a way that it is trained with necessary features for optimal modelling of the cancer detection. The method involves preprocessing of computer...

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Detalles Bibliográficos
Autores principales: Sreenivasu, S. V. N., Gomathi, S., Kumar, M. Jogendra, Prathap, Lavanya, Madduri, Abhishek, Almutairi, Khalid M. A., Alonazi, Wadi B., Kali, D., Jayadhas, S. Arockia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9236787/
https://www.ncbi.nlm.nih.gov/pubmed/35769667
http://dx.doi.org/10.1155/2022/1293548

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9236787/
https://www.ncbi.nlm.nih.gov/pubmed/35769667
http://dx.doi.org/10.1155/2022/1293548

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