3 results match your criteria: "Research Center for Information Technology Innovation (CITI)[Affiliation]"

Boundary-Preserved Deep Denoising of Stochastic Resonance Enhanced Multiphoton Images.

IEEE J Transl Eng Health Med

October 2022

Institute of Translational Medicine, Faculty of Health Sciences & Ministry of Education Frontiers Science Center for Precision Oncology, University of Macau, Taipa Macau China.

Objective: With the rapid growth of high-speed deep-tissue imaging in biomedical research, there is an urgent need to develop a robust and effective denoising method to retain morphological features for further texture analysis and segmentation. Conventional denoising filters and models can easily suppress the perturbative noise in high-contrast images; however, for low photon budget multiphoton images, a high detector gain will not only boost the signals but also bring significant background noise. In such a stochastic resonance imaging regime, subthreshold signals may be detectable with the help of noise, meaning that a denoising filter capable of removing noise without sacrificing important cellular features, such as cell boundaries, is desirable.

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Background: In Chinese Mandarin, lexical tones play an important role of providing contrasts in word meaning. They are pitch patterns expressed by frequency-modulated (FM) signals. Yet, few studies have looked at the relationship between low-level auditory processing of frequency signals and Chinese reading skills.

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The current study examined the associations between basic auditory perception, speech prosodic processing, and vocabulary development in Chinese kindergartners, specifically, whether early basic auditory perception may be related to linguistic prosodic processing in Chinese Mandarin vocabulary acquisition. A series of language, auditory, and linguistic prosodic tests were given to 100 preschool children who had not yet learned how to read Chinese characters. The results suggested that lexical tone sensitivity and intonation production were significantly correlated with children's general vocabulary abilities.

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