Πλοήγηση ανά Θέμα "Diagnosis"
Αποτελέσματα 1-20 από 61
-
Abnormal serum concentrations of proteins in Parkinson's disease
(2009)Blood serum was used to identify protein biomarkers for diagnosis of Parkinson's disease (PD) using analytically validated quantitative 2D-gel electrophoresis, and single variable and multivariate statistics. Using banked ... -
Application of data mining-based affinity propagation clustering algorithm for diagnosis of mechanical equipment transmission system
(2020)– Data mining techniques used to monitor and diagnose the faults of the transmission system of mechanical equipment, thereby promoting the development of big data analysis in the field of intelligent diagnosis. The Affinity ... -
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 ... -
Automated detection of streaks in dermoscopy images
(2015)In this paper we present a novel algorithm for the detection of dark linear structures, which appear in digital dermoscopy images of skin lesions and they are called as streaks in relevant literature. The proposed algorithm ... -
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 ... -
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 ... -
Case Series: Bilateral Homonymous Visual Field Defects Due to Bilateral Ischemic Strokes
(2018)SIGNIFICANCE Bilateral strokes are rare and should be considered when patients present with bilateral visual field loss characterized by patterns consistent with right and left-sided homonymous visual field defects. ... -
Cheminformatics-aided discovery of small-molecule Protein-Protein Interaction (PPI) dual inhibitors of Tumor Necrosis Factor (TNF) and Receptor Activator of NF-κB Ligand (RANKL)
(2017)We present an in silico drug discovery pipeline developed and applied for the identification and virtual screening of small-molecule Protein-Protein Interaction (PPI) compounds that act as dual inhibitors of TNF and RANKL ... -
Clinical evaluation of reproductive ability of rams
(2010)Clinical evaluation of reproductive ability of rams is an integral part of sheep health management programs. The majority of problems adversely affecting the reproductive ability of rams can be easily detected with clinical ... -
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 ... -
Cough Sound Classification Based on Similarity Metrics
(2021)Cough and respiratory sound processing can assist in the early diagnosis of infections such as Covid-19. Even asymptomatic Covid-19 patients can be diagnosed early enough if appropriate speech modeling and signal-processing ... -
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 ... -
Depressive Symptomatology of University Students Via a Web Application
(2020)Depression is a serious mental health disorder that affects approximately 2–5% of school-age children and adults. In addition to the emotional suffering, depression often disrupts cognitive functions and leads to the ... -
Development of a New Optical Device and Its Feasibility in Prostate Cancer Detection
(2012)Aim: To develop a new optical device (prostate optical device, POD) for assessment of prostate tissue stiffness and evaluate its sensitivity and specificity in prostate cancer detection. Patients and Methods: POD was tested ... -
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 ... -
Diagnosis and management of chronic coronary artery disease
(2007)Coronary artery disease (CAD) usually coexists with atherosclerosis of other arterial trees and is accelerated by several risk factors. It may remain asymptomatic for a long period affecting the vessel wall with no lumen ... -
Diagnostic investigation of cases of deaths of newborn lambs
(2010)Neonatal lamb mortality, caused either by disorders of non-infectious aetiology or by pathological conditions of microbial or parasitic aetiology, is defined as the death of newborn lambs during the first 28 days of their ... -
Diagnostic significance of behaviour changes of sheep: A selected review
(2010)Sheep welfare is the combination of subjective and objective (qualitative and quantitative) aspects of the conditions of life of animals, including health and disease, behaviour. husbandry and management; thus, it is a ...