Special Convolutional Neural Network for Identification and Positioning of Interstitial Lung Disease Patterns in Computed Tomography Images

In this paper, automated detection of interstitial lung disease patterns in high resolution computed tomography images is achieved by developing a faster region-based convolutional network based detector with GoogLeNet as a backbone. GoogLeNet is simplified by removing few inception models and used...

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Detalles Bibliográficos
Autores principales: Sunita Agarwala, Kumar, Abhishek, Dhara, Ashis Kumar, Thakur, Sumitra Basu, Sadhu, Anup, Nandi, Debashis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Pleiades Publishing 2021
Materias:
Application Problems
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8711684/
http://dx.doi.org/10.1134/S1054661821040027

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8711684/
http://dx.doi.org/10.1134/S1054661821040027

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