Medical image super-resolution using phase stretch anchored regression (Conference Presentation)

2019 ◽  
Author(s):  
Sifeng He ◽  
Bahram Jalali
Keyword(s):  
Medical Image ◽  
Super Resolution ◽  
Image Super Resolution

scholarly journals Design of Cascaded CNN for Medical Image Super Resolution

2021 ◽  
Vol 7 (3) ◽  
pp. 22-29
Author(s):  
Kajol Singh ◽  
Manish Saxena
Keyword(s):  
Neural Networks ◽  
Medical Image ◽  
Research Work ◽  
Super Resolution ◽  
Primary Objective ◽  
Lighting Conditions ◽  
Proposed Model ◽  
Filter Size ◽  
Medical Image Reconstruction ◽  
Image Super Resolution

The images captured through a camera usually belong to over or under exposed conditions. The reason may be inappropriate lighting conditions or camera resolution. Hence, it is of utmost importance to have a few enhancement techniques that could make these artefacts look better. Hence, the primary objective pertaining to the adjustment and enhancement techniques is to enhance the characteristics of an image. The initial numeric values related to an image get distorted when an image is enhanced. Therefore, enhancement techniques should be designed in such a way that the image quality isn’t compromised. This research work is focused on proposed a network design for deep convolution neural networks for application of super resolution techniques. To improve the complexity of existing techniques this work is intended towards network designs, different filter size and CNN architecture. The CNN model is most effective model for detection and segmentation in image. This model will improve the efficiency of medical image reconstruction from LR to HR. The proposed model showed its efficiency not only PET medical images but also on retinal database and achieved advance results as compared to existing works.

Medical-Image Super-Resolution Reconstruction Method Based on Residual Channel Attention Network

2020 ◽  
Vol 57 (2) ◽  
pp. 021014
Author(s):  
刘可文 Liu Kewen ◽  
马圆 Ma Yuan ◽  
熊红霞 Xiong Hongxia ◽  
严泽军 Yan Zejun ◽  
周志军 Zhou Zhijun ◽  
...  
Keyword(s):  
Medical Image ◽  
Super Resolution ◽  
Reconstruction Method ◽  
Attention Network ◽  
Image Super Resolution

Multiple improved residual networks for medical image super-resolution

2021 ◽  
Vol 116 ◽  
pp. 200-208
Author(s):  
Defu Qiu ◽  
Lixin Zheng ◽  
Jianqing Zhu ◽  
Detian Huang
Keyword(s):  
Medical Image ◽  
Super Resolution ◽  
Image Super Resolution
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