Deep-RSI: Deep learning for Radiographs Source Identification
Author:
Affiliation:
1. Mayo Clinic,Department of Radiology,Jacksonville,Fl,32224
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10216364/10216365/10216742.pdf?arnumber=10216742
Reference23 articles.
1. A Deep Learning Approach to Universal Image Manipulation Detection Using a New Convolutional Layer
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1. Deep-RSIv2: An Efficient Content-Free Deep Learning Approach for Radiographs' Manufacturer and Model Identification;2024 18th International Conference on Ubiquitous Information Management and Communication (IMCOM);2024-01-03
2. Steganalysis of Medical Radiographs for Radiographic Machine Identification;2023 International Conference on Computational Science and Computational Intelligence (CSCI);2023-12-13
3. DeepCT-SI: Deep Learning Algorithm for Computed Tomography Source Identification;2023 International Conference on Computational Science and Computational Intelligence (CSCI);2023-12-13
4. Region-Based Steganalysis of Medical Radiographs for Radiographic Machine Identification;2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE);2023-07-24
5. Steganalysis of Medical Radiographs: a Deep Learning Approach Comparing the Importance of Using Content Pixels and Content-Free Pixels;2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE);2023-07-24
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