Publications by authors named "Zhi-Ming Qin"

Article Synopsis
  • The study aimed to create a machine learning method for accurately estimating the Ki-67 cell proliferation index in oral squamous cell carcinoma (OSCC) using digital pathology images.
  • Image preprocessing techniques such as a variable threshold method and adaptive thresholding were employed to minimize noise and isolate nucleus areas, facilitating accurate detection of immunohistochemically stained cells.
  • The new method showed promising results, matching manual counting accuracy while being faster, especially for larger images, and outperforming traditional color deconvolution methods in estimating the Ki-67 proliferation index, thus supporting its potential for use in pathology diagnoses.
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Although gastroesophageal reflux disease (GERD), a common chronic disease in clinical practice, has been widely studied, its potential adverse impact on patients is still a significant clinical concern. It is necessary to understand the pathogenesis of the disease and choose appropriate treatment according to its mechanism. The pathogenesis of GERD is diverse and complex.

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Background And Objective: Distant metastasis is a major cause of mortality for patients with lung adenocarcinoma. So far, the mechanism of tumor metastasis is unknown. This study was to screen the gene expression signature in relation to lymphatic metastasis of human lung adenocarcinoma.

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