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- W4386323391 abstract "Optical coherence tomography (OCT) is a non-invasive medical imaging technology that captures high-resolution images of biological tissue in real-time. However, OCT images are often plagued by noise, artifacts, and poor contrast, which can hinder their clinical utility. The study explores various image enhancement techniques using Python and OpenCV to improve the quality of OCT images. The study begins by discussing the basic principles of OCT and the challenges associated with OCT image processing. Next, the demonstration on how to preprocess OCT images by removing noise and using various filters and denoising algorithms. Finally, the study was demonstrated to real-world OCT images and evaluated their effectiveness with the aid of a developed interface." @default.
- W4386323391 created "2023-09-01" @default.
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- W4386323391 date "2023-07-17" @default.
- W4386323391 modified "2023-09-27" @default.
- W4386323391 title "Enhancing Optical Coherence Tomography (OCT) Images with Python and OpenCV" @default.
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- W4386323391 doi "https://doi.org/10.1109/icce-taiwan58799.2023.10226647" @default.
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