https://scholars.lib.ntu.edu.tw/handle/123456789/636999
標題: | Toward cell nuclei precision between OCT and H&E images translation using signal-to-noise ratio cycle-consistency | 作者: | Liu, Chih Hao Fu, Li Wei HOMER H. CHEN SHENG-LUNG HUANG |
關鍵字: | H&E | Image translation | OCT | Speckle noise | 公開日期: | 1-十二月-2023 | 卷: | 242 | 來源出版物: | Computer Methods and Programs in Biomedicine | 摘要: | Medical image-to-image translation is often difficult and of limited effectiveness due to the differences in image acquisition mechanisms and the diverse structure of biological tissues. This work presents an unpaired image translation model between in-vivo optical coherence tomography (OCT) and ex-vivo Hematoxylin and eosin (H&E) stained images without the need for image stacking, registration, post-processing, and annotation. The model can generate high-quality and highly accurate virtual medical images, and is robust and bidirectional. Our framework introduces random noise to (1) blur redundant features, (2) defend against self-adversarial attacks, (3) stabilize inverse conversion, and (4) mitigate the impact of OCT speckles. We also demonstrate that our model can be pre-trained and then fine-tuned using images from different OCT systems in just a few epochs. Qualitative and quantitative comparisons with traditional image-to-image translation models show the robustness of our proposed signal-to-noise ratio (SNR) cycle-consistency method. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/636999 | ISSN: | 01692607 | DOI: | 10.1016/j.cmpb.2023.107824 |
顯示於: | 電機工程學系 |
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