Integration of FF-OCT and Artificial Intelligence

FF-OCT is a new image platform technology. The development of various applications and the accumulation of high-resolution image data can give artificial intelligence systems a large room for development. Especially high-resolution images have more details, which greatly increases the difficulty of image processing and image analysis. Use deep learning technology to enhance the image and further quantify the image characteristics, so that users can easily analyze the differences between the images.

Image De-Noising by Deep Learning

Robust, accurate algorithm for speckle noise reduction

Before Denoise

After Denoise

I. Chen, T. Ho and C. Lu, “Full Field Optical Coherence Tomography Image Denoising Using Deep Learning with Spatial Compounding,” 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 2020, pp. 1975-1978, doi: 10.1109/ISBI45749.2020.9098452.

Denoise Before / After Comparison

Analyze Melanin Accumulation

Features Quantification for Melasma Diagnosis

All Detected Melanin

Large Accumulated Melanin

Chen, I.-L.;Wang, Y.-J.; Chang, C.-C.;Wu, Y.-H.; Lu, C.-W.; Shen, J.-W.; Huang, L.; Lin, B.-S.; Chiang, H.-M. Computer-Aided Detection (CADe) System with Optical Coherent Tomography for Melanin Morphology Quantification in Melasma Patients. Diagnostics 2021, 11, 1498.

Automatic Melanin Detection

Automatic Nuclei Detection

3D Nucleus Segmentation

DEJ 3D Segmentation


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