Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 5 of 5 for “"Nuclei segmentation"”.
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Segmentation of cell structures in fluorescence confocal microscopy images
During the past several years, image segmentation techniques have been developed and extensively used in biomedical applications as an important tool to extract objects and boundaries of interest. In biological field, cytoskeleton analysis is a complicated problem and the analysing technique is …
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Deep learning for digitized histology image analysis
… with a binary classifier network; 2) epithelium segmentation; 3) deep regression for pixel-wise segmentation of epithelium by patch-based image analysis; 4) attention-based CIN classification with localized sequential feature modeling. Deep learning-based nuclei detection by superpixels was …
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Deep learning for automatic microscopy image analysis
… for the creation of detailed images of cells (or nuclei) and have been widely employed for cell studies in biological research and disease diagnosis in clinic practices.Microscopy image analysis (MIA), with tasks of cell detection, cell classification, and cell counting, etc., can assist with the …
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THE INFLUENCE OF MELANOMA STEM CELLS ON TUMOR MICROENVIRONMENT REMODELING: EXPERIMENTAL INSIGHTS FROM IN VITRO STUDIES
… microscopy followed by quantitative analyses and nuclei segmentation with deep-learning-based algorithms. By employing these techniques, an early-stage melanoma cellular models were successfully reproduced by incorporating melanoma SCs directly into the tri-culture spheroids. Notably, melanoma SCs …
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A cell level automated approach for quantifying antibody staining in immunohistochemistry images. A structural approach for quantifying antibody staining in colonic cancer spheroid images by integrating image processing and machine learning towards the implementation of computer aided scoring of cancer markers.
… quantification of antibody inside stained cell nuclei in immunohistochemistry images is proposed and demonstrated in this research. The system is based on a cellular level approach, where each nucleus is individually analyzed to observe the effects of protein antibodies inside the nuclei. The …