Article ; Online: Toward cell nuclei precision between OCT and H&E images translation using signal-to-noise ratio cycle-consistency.
Computer methods and programs in biomedicine
2023 Volume 242, Page(s) 107824
Abstract: ... Hematoxylin and eosin (H&E) stained images without the need for image stacking, registration, post-processing ...
Abstract | 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. |
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MeSH term(s) | Signal-To-Noise Ratio ; Algorithms ; Image Processing, Computer-Assisted/methods ; Tomography, Optical Coherence/methods ; Cell Nucleus |
Language | English |
Publishing date | 2023-09-25 |
Publishing country | Ireland |
Document type | Journal Article |
ZDB-ID | 632564-6 |
ISSN | 1872-7565 ; 0169-2607 |
ISSN (online) | 1872-7565 |
ISSN | 0169-2607 |
DOI | 10.1016/j.cmpb.2023.107824 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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