Search for dissertations about: "tissue image analysis"
Showing result 11 - 15 of 286 swedish dissertations containing the words tissue image analysis.
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11. Towards Automatic Quantification of Immunohistochemistry Using Colour Image Analysis
Abstract : Quantification of the proportions of specifically stained regions in images is of significant interest in a growing number of biomedical applications. These applications includes histology and cytology where quantification of various stainings performed on histological tissue sections, smears, imprints etc. is of utmost importance. READ MORE
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12. Deep Regression and Segmentation for Medical Inference from Large-Scale Magnetic Resonance Imaging
Abstract : Large-scale studies, such as UK Biobank, acquire medical imaging data for thousands of participants. With magnetic resonance imaging (MRI), comprehensive representations of human anatomy can be provided for non-invasive assessments of health-related conditions, body composition, organ volumes, and more. READ MORE
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13. Application, Optimisation and Evaluation of Deep Learning for Biomedical Imaging
Abstract : Microscopy imaging is a powerful technique when studying biology at a cellular and sub-cellular level. When combined with digital image analysis it creates an invaluable tool for investigating complex biological processes and phenomena. READ MORE
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14. Towards Automatic Image Analysis for Computerised Mammography
Abstract : Mammographic screening is an effective way to detect breast cancer. Early detection of breast cancer depends to a high degree on the adequacy of the mammogram from which the diagnosis is made. Today, most of the analysis of the mammogram is performed by radiologists. READ MORE
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15. Cancer imaging and image analysis methods in whole-body MRI and PET/MRI
Abstract : Diagnostic medical imaging techniques such as magnetic resonance imaging (MRI) and positron emission tomography (PET) can provide structural and functional assessments of the whole body. This has great value for potentially systemic diseases such as cancer. READ MORE