Transfer Learning-Based Super-Resolution for High-Precision Medical Imaging
High-resolution medical images are critical for preserving intricate anatomical details essential for accurate diagnosis, effective surgical planning, and creating precise digital twins. However, acquiring such images often requires expensive equipment, specialized personnel, considerable time, and...
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| Main Authors: | Jae Yong Lee, Muhammad Ishfaq Hussain, Kyong-Ha Lee, Hyoung Seop Shim, Seung-Ho Han, Donghun Yang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11078263/ |
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