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Found 6 papers, 0 papers with code
Realistic Endoscopic Image Generation Method Using Virtual-to-real Image-domain Translation
Virtual endoscopic images are generated by using a volume rendering method from a CT volume of a patient.
Depth Estimation from Single-shot Monocular Endoscope Image Using Image Domain Adaptation And Edge-Aware Depth Estimation
The identification accuracy of the network improved from 69. 2% to 74. 1% by using the estimated depth images.
Physical Activity Analysis of College Students During the COVID-19 Pandemic Using Smartphones
Hence, in this study, we collected daily PA data (including the data corresponding to the number of steps taken and the data associated with six types of activities) by employing smartphones and thereby analyzed the changes in the PA of university students.
Computers and Society J.4; H.4.0; H.5.3
Micro CT Image-Assisted Cross Modality Super-Resolution of Clinical CT Images Utilizing Synthesized Training Dataset
Unsupervised SR methods are required that do not need paired LR and HR images.
Super-resolution of clinical CT volumes with modified CycleGAN using micro CT volumes
This paper presents a super-resolution (SR) method with unpaired training dataset of clinical CT and micro CT volumes.
Multi-modality super-resolution loss for GAN-based super-resolution of clinical CT images using micro CT image database
This paper newly introduces multi-modality loss function for GAN-based super-resolution that can maintain image structure and intensity on unpaired training dataset of clinical CT and micro CT volumes.
