Listar por tema "Medical imaging"
Mostrando ítems 1-20 de 51
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3D protein-protein docking using shape complementarity and fast alignment
(2011)In this paper, a novel approach for fast protein-protein docking based on geometric complementarity is introduced. Complementarity matching is achieved using a rotation-invariant 3D shape descriptor, the Shape Impact ... -
Advanced cancer cell characterization and quantification of microscopy images
(2012)In this paper we present an advanced image analysis tool for the accurate characterization and quantification of cancer and apoptotic cells in microscopy images. Adaptive thresholding and Support Vector Machines classifiers ... -
Application of Radiomics and Decision Support Systems for Breast MR Differential Diagnosis
(2018)Over the years, MR systems have evolved from imaging modalities to advanced computational systems producing a variety of numerical parameters that can be used for the noninvasive preoperative assessment of breast pathology. ... -
An artificial neural network architecture for non-parametric visual odometry in wireless capsule endoscopy
(2017)Wireless capsule endoscopy is a non-invasive screening procedure of the gastrointestinal (GI) tract performed with an ingestible capsule endoscope (CE) of the size of a large vitamin pill. Such endoscopes are equipped with ... -
ASML: Algorithm-Agnostic Architecture for Scalable Machine Learning
(2021)Machine Learning (ML) applications are growing in an unprecedented scale. The development of easy-to-use machine-learning application frameworks has enabled the development of advanced artificial intelligence (AI) applications ... -
Beyond lesion detection: Towards semantic interpretation of endoscopy videos
(2017)Several computer-based medical systems have been proposed for automatic detection of abnormalities in a variety of medical imaging domains. The majority of these systems are based on binary supervised classification ... -
Bimodal CT/MRI-based segmentation method for intervertebral disc boundary extraction
(2020)Intervertebral disc (IVD) localization and segmentation have triggered intensive research efforts in the medical image analysis community, since IVD abnormalities are strong indicators of various spinal cord-related ... -
Biomedical Data Ensemble Classification using Random Projections
(2019)Biomedicine is undergoing a revolution driven by the explosion of biomedical data, which are generated by emerged medical imaging, sensor technologies and high-throughput technologies. An indicative example is the single ... -
Bone fracture identification in x-ray images using fuzzy wavelet features
(2019)The fracture detection process is difficult and requires specialized knowledge of the anatomical structures of the area under consideration. X-ray imaging provides images of the body's internal structures. Despite the rapid ... -
Cancer cells detection and pathology quantification utilizing image analysis techniques
(2012)This paper presents an advanced image analysis tool for the accurate and fast characterization and quantification of cancer and apoptotic cells in microscopy images utilizing adaptive thresholding and a Support Vector ... -
Classification of pathological human brain lesions using magnetic resonance spectroscopy at 3T
(2009)Magnetic Resonance Spectroscopy is a powerful non-invasive diagnostic tool that is used in conjunction with MRI techniques to provide identification and quantification of biologically important compounds in soft tissue. ... -
Classifying mammography images by using fuzzy cognitive maps and a new segmentation algorithm
(2018)Mammography is one of the best techniques for the early detection of breast cancer. In this chapter, a method based on fuzzy cognitive map (FCM) and its evolutionary-based learning capabilities is presented for classifying ... -
Comparative analysis of methods for extracting vessel network on breast MRI images
(2017)Digital processing of MRI images aims to provide an automatized diagnostic evaluation of regular health screenings. Cancerous lesions are proven to cause an alteration in the vessel structure of the diseased organ. Currently ... -
Confluent hepatic fibrosis as the presenting imaging sign in nonadvanced alcoholic cirrhosis
(2004)Confluent hepatic fibrosis (CHF) is usually a feature of advanced cirrhosis, while occurrence in early stage compensated cirrhosis is uncommon. We report the imaging findings of masslike CHF in a patient with previously ... -
A Convolutional Neural Network-based explainable classification method of SPECT myocardial perfusion images in nuclear cardiology
(2022)This study targets on the development of an explainable Convolutional Neural Network (CNN) pipeline in the form of a handcrafted CNN to identify patients' coronary artery disease status (normal, ischemia or infarction). ... -
Deep Learning for Bone Metastasis Localisation in Nuclear Imaging data of Breast Cancer Patients
(2021)Bone scintigraphy is a popular method for the diagnosis of bone metastasis that typically occurs when cancer cells from the primary tumor relocate to the bone. In bone scintigraphy, the whole patient's body is scanned and ... -
Design considerations for application of SiPMs in nuclear imaging
(2010)Silicon Photomultiplier (SiPM) detectors are attractive candidates for the replacement of Photomultipliers in nuclear imaging. They are compact, provide high gain with low Vbias and have fast response. In addition, SiPMs ... -
Development of a SIPM based gamma-ray imager using a Gd3Al 2Ga3O12:Ce (GAGG:Ce) scintillator array
(2013)In this study we present the performance evaluation of a 6×6 Gd3Al2Ga3O12:Ce (GAGG:Ce) pixellated scintillator with 2×2×5mm 3 crystal size elements, coupled to a silicon photomultiplier array (ArraySL-4). Evaluation was ... -
Development of Convolutional Neural Networkbased models for bone metastasis classification in nuclear medicine
(2020)Focusing on prostate cancer patients, this research paper addresses the problem of bone metastasis diagnosis, investigating the capabilities of convolutional neural networks (CNN) and transfer learning. Considering the ... -
Digital image processing: Clinical applications and challenges in cosmetics
(2016)Digital image processing and analysis of medical images can effectively support medical diagnosis with valuable tools including automatic detection, recognition segmentation and measurement of visible entities of interest. ...