Publications by authors named "Yuhuan Chang"

Article Synopsis
  • Malignant melanoma is a serious skin cancer that is becoming more common, prompting the need for effective early detection methods.
  • Previous studies mostly focused on dermoscopic images, but this research uses a convolutional neural network (CNN) to analyze optical coherence tomography (OCT) images of mouse skin for better melanoma identification.
  • The CNN shows impressive accuracy with a sensitivity of 0.99 and specificity of 0.98, providing a risk score for melanoma presence that could help improve early diagnosis and treatment in clinical practices.
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This study develops a handheld optical coherence tomography angiography (OCTA) system that uses a high-speed (200 kHz) swept laser with a dual-reference common-path configuration for stable and fast imaging. The common-path design automatically avoids polarization and dispersion mismatches by using one circulator as the primary system element, ensuring a cost-effective and compact design for handheld probe use. With its stable envelope (i.

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The chaperonin-containing TCP1 complex subunit 3 (CCT3) has been reported to be involved in the development and prognosis of many tumors, including cervical cancer (CC). This study aimed to analyze the expression and prognostic value of CCT3 in CC by bioinformatics and retrospective study. CCT3 gene expression profiles and clinical information in CC were downloaded from the cancer genome atlas (TCGA) and gene expression omnibus (GEO) databases.

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Melanoma is a high-risk skin cancer because it tends to metastasize early and ultimately leads to death. In this study, we introduced a noninvasive multifunctional optical coherence tomography (MFOCT) for the early detection of premetastatic pathogenesis in cutaneous melanoma by label-free imaging of microstructures (i.e.

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