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Showing 1 to 10 of 10 for “"Tissue classification"”.

  1. Tissue classification from electric impedance spectroscopy for haptic feedback in minimally invasive surgery

    … thesis proposes using the electric impedance of tissues, instead of the traditionally used mechanical impedance, to develop haptic feedback for surgical robots. Electric impedance spectroscopy (EIS) and a modified surgical needle were successfully able to measure the electric impedance for …

    uoit Repository record for Tissue classification from electric impedance spectroscopy for haptic feedback in minimally invasive surgery (opens in a new tab)

  2. Performance analysis of automatic techniques for tissue classification in magnetic resonance images of the human brain

    Classification of Magnetic Resonance (MR) images of the human brain into anatomically meaningful tissue labels is an important processing step in many research and clinical studies in neurology. The medical imaging research community is presented with a wide choice of classification algorithms from …

    concordia Repository record for Performance analysis of automatic techniques for tissue classification in magnetic resonance images of the human brain (opens in a new tab)

  3. Development of a robotic biopsy system compatible with label-free digital pathology and methods for needle-tissue classification

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-03-01 without embargo terms

    uiuc Repository record for Development of a robotic biopsy system compatible with label-free digital pathology and methods for needle-tissue classification (opens in a new tab)

  4. Biologically-Interpretable Disease Classification Based on Gene Expression Data

    Classification of tissues and diseases based on gene expression data is a powerful application of DNA microarrays. Many popular classifiers like support vector machines, nearest-neighbour methods, and boosting have been applied successfully to this problem. However, it is difficult to determine …

    vt Repository record for Biologically-Interpretable Disease Classification Based on Gene Expression Data (opens in a new tab)

  5. Optical spectroscopy for biological and biomedical applications: potentially impacting future of healthcare with research, clinical translation and education

    … to detect early-stage diseases and identify tissue structures with enough contrast. Optical spectroscopy and imaging can solve this insufficiency by providing molecular-sensitive tools for applications involving screening, diagnosis, monitoring vital signs, treatment planning and guidance, …

    cork Repository record for Optical spectroscopy for biological and biomedical applications: potentially impacting future of healthcare with research, clinical translation and education (opens in a new tab)

  6. Evolutionary computing techniques to aid the acquisition and analysis of nuclear magnetic resonance data

    … created a demand for automated data analysis for tissue classification and feature selection. The use of artificial intelligence techniques such as evolutionary computing can be used for such data analysis. This thesis applies the techniques of evolutionary computation to aid the collection and …

    city-london Repository record for Evolutionary computing techniques to aid the acquisition and analysis of nuclear magnetic resonance data (opens in a new tab)

  7. MRI-based treatment plan simulation and adaptation for ion radiotherapy using a classification-based approach

    … and adaptation in ion radiotherapy using a classification-based approach. At first, a tissue classification tool was developed and applied for deriving so-called pseudo CT numbers from MR images. Suitable MR sequences and parameters were evaluated in cross-validation studies of tissue

    heid-thes Repository record for MRI-based treatment plan simulation and adaptation for ion radiotherapy using a classification-based approach (opens in a new tab)

  8. Statistical Preconditioning and Quantitative Imaging for Electrical Impedance Tomography

    … for a fast computation of the Jacobian. We add a classification algorithm to interpret the results of the EIT inverse problem by way of a quantitative image, mapping out the tissue classification inside of the breast. We present a summary on the background of the EIT problem and discuss at length …

    ohiolink Repository record for Statistical Preconditioning and Quantitative Imaging for Electrical Impedance Tomography (opens in a new tab)

  9. Prevalence and impact of Malaria infection on pregnancy and prenatal outcomes in the Blue Nile state of Sudan

    … of the malaria parasite; the placental blood and tissues, cord blood, and peripheral blood smears of the new born babies have been collected and examined for malaria parasites infection by microscopic using Giemsa staining and polymerase chain reaction (PCR) techniques. The placental tissue

    middlesex Repository record for Prevalence and impact of Malaria infection on pregnancy and prenatal outcomes in the Blue Nile state of Sudan (opens in a new tab)

  10. Image classification and feature selection

    Made available in DSpace on 2012-06-27T21:22:52Z (GMT). No. of bitstreams: 9 Chen_Gang.pdf: 2139361 bytes, checksum: 3e14f03bb001785a473bc6193dc54f8b (MD5) license.txt: 4058 bytes, checksum: 50cddeb1b191bb1536258b22551f35da (MD5) ch4.tex: 87063 bytes, checksum: 8fac0f031e2c4b465952bb040f6131fa …

    uiuc Repository record for Image classification and feature selection (opens in a new tab)