Publications by authors named "H K Lui"
We developed an automated microregistration method that enables repeated in vivo skin microscopy imaging of the same tissue microlocation and specific cells over a long period of days and weeks with unprecedented precision. Applying this method in conjunction with an in vivo multimodality multiphoton microscope, the behavior of human skin cells such as cell proliferation, melanin upward migration, blood flow dynamics, and epidermal thickness adaptation can be recorded over time, facilitating quantitative cellular dynamics analysis. We demonstrated the usefulness of this method in a skin biology study by successfully monitoring skin cellular responses for a period of two weeks following an acute exposure to ultraviolet light.
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- The study investigates the effectiveness of combining deep neural networks and Raman spectroscopy to enhance skin cancer detection, demonstrating promising results in previous research.
- It analyzed the Raman spectra of 731 skin lesions, including both cancerous and benign types, using a 1D convolutional neural network for classification and various data augmentation strategies.
- Results showed that the performance metrics (ROC AUC) improved significantly after data augmentation, with the 1D-CNN achieving the highest score, indicating that this method could offer improved diagnostic accuracy for skin cancer detection.
Background: Researchers have developed machine learning-based ECG diagnostic algorithms that match or even surpass cardiologist level of performance. However, most of them cannot be used in real-world, as older generation ECG machines do not permit installation of new algorithms.
Objective: To develop a smartphone application that automatically extract ECG waveforms from photos and to convert them to voltage-time series for downstream analysis by a variety of diagnostic algorithms built by researchers.