Cargando…
Image Super-Resolution Reconstruction Method for Lung Cancer CT-Scanned Images Based on Neural Network
The super-resolution (SR) reconstruction of a single image is an important image synthesis task especially for medical applications. This paper is studying the application of image segmentation for lung cancer images. This research work is utilizing the power of deep learning for resolution reconstr...
Autores principales: | Xu, Jianming, Liu, Weichun, Qin, Yang, Xu, Guangrong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9314153/ https://www.ncbi.nlm.nih.gov/pubmed/35898680 http://dx.doi.org/10.1155/2022/3543531 |
Ejemplares similares
-
Classification of COVID-19 pneumonia from chest CT images based on reconstructed super-resolution images and VGG neural network
por: Tan, Wenjun, et al.
Publicado: (2021) -
Super resolution reconstruction of CT images based on multi-scale attention mechanism
por: Yin, Jian, et al.
Publicado: (2023) -
Improved Image Fusion in PET/CT Using Hybrid Image Reconstruction and Super-Resolution
por: Kennedy, John A., et al.
Publicado: (2007) -
Joint Image Reconstruction and Super-Resolution for Accelerated Magnetic Resonance Imaging
por: Xu, Wei, et al.
Publicado: (2023) -
Underwater Object Detection and Reconstruction Based on Active Single-Pixel Imaging and Super-Resolution Convolutional Neural Network
por: Li, Mengdi, et al.
Publicado: (2021)