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Automated classification of medical images through neural networks can reach high accuracy rates but lack interpretability.
This article was published in the following journal.
Name: The British journal of dermatology
The majority of current medical CBIR systems perform retrieval based only on "imaging signatures" generated by extracting pixel-level quantitative features, and only rarely has a feedback mechanism be...
For the last three decades, content-based image retrieval (CBIR) has been an active research area, representing a viable solution for retrieving similar images from an image repository. In this articl...
Image retrieval has achieved remarkable improvements with the rapid progress on visual representation and indexing techniques. Given a query image, search engines are expected to retrieve relevant res...
In this paper, we hypothesize a type of item-response strategy based on knowledge retrieval. Knowledge retrieval-based item-solving strategy may emerge when: (1) one's regular ability is not utilized,...
Histopathological image classification (HIC) and content-based histopathological image retrieval (CBHIR) are two promising applications for the histopathological whole slide image (WSI) analysis. HIC ...
The purpose of the study is to evaluate diagnostic performance of high iodine (iopamidol 370 mg/dl) content versus low iodine (iodixanol 300 mg/dl) content for diagnostic accuracy by contr...
This project is split into 4 sections: 1. Can improvements be made in the Magnetic resonance imaging sequences used to image the fetus in order to improve diagnostic accuracy? ...
Ultrasonography (US) is an operator depended image modality that is difficult to reproduce and interpret by others. Competence of the US operator is crucial for reliable diagnostics but no...
The aim of this prospective "Monocentre" study is to evaluate the patient comfort in MRI and to measure examination conditions and factors that may affect the image quality and thus the di...
This is a prospective clinical validation study of a novel regulatory approved (CE-IVD) diagnostic assay called ImmunoXpert™ that will enroll 1222 pediatric patients. The study aims to e...
The use of pre-treatment imaging modalities to position the patient, delineate the target, and align the beam of radiation to achieve optimal accuracy and reduce radiation damage to surrounding non-target tissues.
Very small encapsulated gas bubbles (diameters of micrometers) that can be used as CONTRAST MEDIA, and in other diagnostic and therapeutic applications. Upon exposure to sufficiently intense ultrasound, microbubbles will cavitate, rupture, disappear, release gas content, etc. Such characteristics of the microbubbles can be used to enhance diagnostic tests, dissolve blood clots, and deliver drugs or genes for therapy.
A method of delineating blood vessels by subtracting a tissue background image from an image of tissue plus intravascular contrast material that attenuates the X-ray photons. The background image is determined from a digitized image taken a few moments before injection of the contrast material. The resulting angiogram is a high-contrast image of the vessel. This subtraction technique allows extraction of a high-intensity signal from the superimposed background information. The image is thus the result of the differential absorption of X-rays by different tissues.
Techniques used to determine the age of materials, based on the content and half-lives of the RADIOACTIVE ISOTOPES they contain.
Computer-based systems for input, storage, display, retrieval, and printing of information contained in a patient's medical record.