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 “"medical image retrieval"”.
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Comprehensive Investigation on Content-based Medical Image Retrieval using Radon Barcodes
Content Based Medical Image Retrieval (CBMIR) systems are vital to the underlying operation of medical databases because they allow quick search and retrieval of medical images. Radon Barcode (RBC)s are binary complementary feature vectors which increase the speed of CBMIR systems through smaller …
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Fine-tuning CLIP models for peripheral blood cell images retrieval based on morphological descriptions
… explores the fine-tuning of Contrastive Language-Image Pre-training (CLIP) models for retrieving peripheral blood cell images based on morphological descriptions, aiming to assist hematologists in diagnostic processes. The study addresses the limitations of manual peripheral blood smear analysis, …
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A Common Representation Format for Multimedia Documents
… of multiple file format combinations, such as image and text, image and sound, or image, text and sound. The type of multimedia document determines the form of analysis for knowledge architecture design and retrieval methods. Over the last few decades, theories of text analysis have been …
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Shape Matching, Relevance Feedback, and Indexing with Application to Spine X-Ray Image Retrieval
… a collection of 17,000 digitized spine X-ray images obtained from the second National Health and Nutrition Examination Survey (NHANES II). Research effort has been devoted to develop a web-accessible retrieval system that allows retrieval of images from the NHANES II database on relevant and …
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Learning Representations for Limited and Heterogeneous Medical Data
… learning in medicine due to the diversity of medical data and the expense of data collection and annotation. To learn generalizable representations from such limited and heterogeneous medical data, we aim to utilize various learning paradigms to overcome the issue. In this dissertation, we …