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Found 6 papers, 2 papers with code
DC2Anet: Generating Lumbar Spine MR Images from CT Scan Data Based on Semi-Supervised Learning
In this paper, we propose a method for estimating lumbar spine MR images based on CT images using a novel objective function and a dual cycle-consistent adversarial network (DC2Anet) with semi-supervised learning.
Blind Deconvolution Method using Omnidirectional Gabor Filter-based Edge Information
In the previous blind deconvolution methods, de-blurred images can be obtained by using the edge or pixel information.
Deep CT to MR Synthesis using Paired and Unpaired Data
To improve the accuracy of CT-based radiotherapy planning, we propose a synthetic approach that translates a CT image into an MR image using paired and unpaired training data.
Patch-based Fake Fingerprint Detection Using a Fully Convolutional Neural Network with a Small Number of Parameters and an Optimal Threshold
This study proposes a patch-based fake fingerprint detection method using a fully convolutional neural network with a small number of parameters and an optimal threshold to solve the above-mentioned problem.
End-to-End Fingerprints Liveness Detection using Convolutional Networks with Gram module
The proposed CNN structure uses the fire module as the base model and uses the gram module for texture extraction.
Wide-Residual-Inception Networks for Real-time Object Detection
Since convolutional neural network(CNN)models emerged, several tasks in computer vision have actively deployed CNN models for feature extraction.
