Search for dissertations about: "image processing feature"
Showing result 1 - 5 of 96 swedish dissertations containing the words image processing feature.
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1. Automated Tissue Image Analysis Using Pattern Recognition
Abstract : Automated tissue image analysis aims to develop algorithms for a variety of histological applications. This has important implications in the diagnostic grading of cancer such as in breast and prostate tissue, as well as in the quantification of prognostic and predictive biomarkers that may help assess the risk of recurrence and the responsiveness of tumors to endocrine therapy. READ MORE
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2. Adapting Deep Learning for Microscopy: Interaction, Application, and Validation
Abstract : Microscopy is an integral technique in biology to study the fundamental components of life visually. Digital microscopy and automation have enabled biologists to conduct faster and larger-scale experiments with a sharp increase in the data generated. READ MORE
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3. Image and Data Analysis for Biomedical Quantitative Microscopy
Abstract : This thesis presents automatic image and data analysis methods to facilitate and improve microscopy-based research and diagnosis. New technologies and computational tools are necessary for handling the ever-growing amounts of data produced in life science. READ MORE
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4. Combining Shape and Learning for Medical Image Analysis
Abstract : Automatic methods with the ability to make accurate, fast and robust assessments of medical images are highly requested in medical research and clinical care. Excellent automatic algorithms are characterized by speed, allowing for scalability, and an accuracy comparable to an expert radiologist. READ MORE
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5. Improving Multi-Atlas Segmentation Methods for Medical Images
Abstract : Semantic segmentation of organs or tissues, i.e. delineating anatomically or physiologically meaningful boundaries, is an essential task in medical image analysis. One particular class of automatic segmentation algorithms has proved to excel at a diverse set of medical applications, namely multi-atlas segmentation. READ MORE