Search results for "pattern"

showing 10 items of 4203 documents

CHAIMELEON Project: Creation of a Pan-European Repository of Health Imaging Data for the Development of AI-Powered Cancer Management Tools

2022

[EN] The CHAIMELEON project aims to set up a pan-European repository of health imaging data, tools and methodologies, with the ambition to set a standard and provide resources for future AI experimentation for cancer management. The project is a 4 year long, EU-funded project tackling some of the most ambitious research in the fields of biomedical imaging, artificial intelligence and cancer treatment, addressing the four types of cancer that currently have the highest prevalence worldwide: lung, breast, prostate and colorectal. To allow this, clinical partners and external collaborators will populate the repository with multimodality (MR, CT, PET/CT) imaging and related clinical data. Subse…

Imatges tridimensionals en medicinaCancer ResearchINFORMATIONARTIFICIAL-INTELLIGENCEIntel·ligència artificialArtificial intelligence (AI)radiologyddc:cancer imagingcancer managementComputingMethodologies_PATTERNRECOGNITIONOncologyimage harmonizationartificial intelligence-AI cancer imaging cancer management image harmonization quantitative imaging biomarkers radiologyCIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIALartificial intelligence-AI; cancer imaging; cancer management; image harmonization; quantitative imaging biomarkers; radiologyartificial intelligence-AI1112 Oncology and CarcinogenesisCàncerquantitative imaging biomarkers
researchProduct

La dimensione tecnologica del museo: forme, tecniche, "identità mutanti" tra storia e contemporaneità

2005

Nella cultura contemporanea il tema della conservazione dell’eredità storica, della rappresentazione e della trasmissibilità dell’arte è argomento ampiamente dibattuto. La forza culturale del museo, detentore dell’eredità, può essere interpretata secondo diverse traiettorie di forme. La memoria intende esprimersi sulle origini e sul significato della "macchina museale" attraverso l’analisi critica dell’oggetto, sia esso contenitore, palco di rappresentazione o scena interattiva. Sonda i processi di comunicazione relativamente alla forma architettonica, alla funzione ed alla fruizione del prodotto espositivo. Tenendo conto delle diverse scuole di pensiero sulla spettacolarizzazione dell’arte…

In present days the storical heritage the transmission of art and its performance is very important argument of debate. Its representation is the building museum in many different forms. The building museum of art is the most important place for exsposition of masterpieces instead the museum of architecture exhibits the works through projects and patterns. Today museum reconstructs the human perception of space using new technologies. The same thing happens for the museum of science and technique where the visitor gets involved in scientific representation. Therefore museum can be a place of study and scientific research. It can be either memory of past times or place of contemporaneity. This study expresses origin and meaning of building museum through the critical analysis of architectonic forms technological aims and the proper use of the exspositive space.Settore ICAR/12 - Tecnologia Dell'Architettura
researchProduct

In-process heat treatments to improve FS-welded butt joints

2008

Friction-stir welding (FSW) is a relatively new but already well known solid-state welding process whose main advantage with respect to fusion welding processes is the possibility to successfully weld light alloys, traditionally considered difficult to weld or unweldable. Despite the good mechanical performances that can be obtained, there exists the possibility to further improve the joints' effectiveness through post-welding heat treatments that are however time and cost-expensive and, therefore, not best suited for industrial applications. In the present paper, the authors report the results of an experimental campaign, developed on FSW of AA7075-T6 aluminum alloy, aimed to investigate t…

In process heat treatmentMaterials scienceFSWMechanical EngineeringMetallurgyComputer Science Applications1707 Computer Vision and Pattern RecognitionWeldingIndustrial and Manufacturing EngineeringComputer Science Applicationslaw.inventionRefrigerantFusion weldingControl and Systems EngineeringlawThermalButt jointMechanical resistanceForced-airSofteningJoint (geology)SoftwareThe International Journal of Advanced Manufacturing Technology
researchProduct

Predicting the Success of Blastocyst Implantation from Morphokinetic Parameters Estimated through CNNs and Sum of Absolute Differences

2019

The process of In Vitro Fertilization deals nowadays with the challenge of selecting viable embryos with the highest probability of success in the implantation. In this topic, we present a computer-vision-based system to analyze the videos related to days of embryo development which automatically extracts morphokinetic features and estimates the success of implantation. A robust algorithm to detect the embryo in the culture image is proposed to avoid artifacts. Then, the ability of Convolutional Neural Networks (CNNs) for predicting the number of cells per frame is novelty combined with the Sum of Absolute Differences (SAD) signal in charge of capturing the amount of intensity changes durin…

In vitro fertilisationComputer sciencebusiness.industryDeep learningmedicine.medical_treatmentFrame (networking)Embryogenesis020206 networking & telecommunicationsPattern recognitionEmbryoImage processing02 engineering and technologyConvolutional neural networkSum of absolute differencesmedicine.anatomical_structure0202 electrical engineering electronic engineering information engineeringmedicine020201 artificial intelligence & image processingBlastocystArtificial intelligenceBlastocyst implantationbusiness2019 27th European Signal Processing Conference (EUSIPCO)
researchProduct

Estimating feature discriminant power in decision tree classifiers

1995

Feature Selection is an important phase in pattern recognition system design. Even though there are well established algorithms that are generally applicable, the requirement of using certain type of criteria for some practical problems makes most of the resulting methods highly inefficient. In this work, a method is proposed to rank a given set of features in the particular case of Decision Tree classifiers, using the same information generated while constructing the tree. The preliminary results obtained with both synthetic and real data confirm that the performance is comparable to that of sequential methods with much less computation.

Incremental decision treeComputer sciencebusiness.industryDecision tree learningRank (computer programming)Decision treePattern recognitionFeature selectionMachine learningcomputer.software_genreSet (abstract data type)Tree (data structure)Feature (machine learning)Artificial intelligencebusinesscomputer
researchProduct

Updated insights into the mechanism of action and clinical profile of the immunoadjuvant QS-21: A review

2019

Background Vaccine adjuvants are compounds that significantly enhance/prolong the immune response to a co-administered antigen. The limitations of the use of aluminium salts that are unable to elicite cell responses against intracellular pathogens such as those causing malaria, tuberculosis, or AIDS, have driven the development of new alternative adjuvants such as QS-21, a triterpene saponin purified from Quillaja saponaria. Purpose The aim of this review is to attempt to clarify the mechanism of action of QS-21 through either receptors or signaling pathways in vitro and in vivo with special emphasis on the co-administration with other immunostimulants in new adjuvant formulations, called a…

InflammasomesT-Lymphocytesmedicine.medical_treatmentHerpes zosterPharmaceutical ScienceMonophosphoryl Lipid AAPCs antigen presenting cellsMiceCMI cell mediated immunity0302 clinical medicineDrug DiscoveryHerpes Zoster VaccineMedicineNSCLC non small cell lung carcinomaCancerImmunity CellularVaccines Synthetic0303 health sciencesImmunogenicityIl-2 interleukine 2HIV human immunodeficiency virusLipid A030220 oncology & carcinogenesisCytokinesMolecular MedicineDCs dendritic cellsNK natural killerAdjuvantTLR Toll-like receptorHerpes Zoster VaccineCD cluster of differentiationAntigen-Presenting CellsCTL cytotoxic T lymphocytesHZ herpes zosterMPL 3-deacylated monophosphoryl lipidVaccine adjuvantImmunoadjuvantArticleVZV varicella zoster virus03 medical and health sciencesImmune systemAdjuvants ImmunologicAntigenPAMPs pathogen-associated molecular patternsMalaria VaccinesPRRs pathogen recognition receptorsQS-21 Quillaja saponaria Molina-fraction 21AnimalsMHC major histocompatibility complexMtb Mycobacterium tuberculosis bacteriaSARS severe acute respiratory syndromeAntigen-presenting cellIFN-γ interferon-gamma030304 developmental biologyPharmacologybusiness.industryA-β amyloid-betaTNF-α tumor necrosis factor-alphaSaponinsQS-21MalariaQuillaja saponariaComplementary and alternative medicineTCR T-cell receptorLiposomesImmunologyKLH keyhole limpet hemocyaninbusinessdLN draining lymph nodesMAPK mitogen activated protein kinasePhytomedicine
researchProduct

Association of Dietary Patterns with MRI Markers of Hepatic Inflammation and Fibrosis in the MAST4HEALTH Study

2022

Whereas the etiology of non-alcoholic fatty liver disease (NAFLD) is complex, the role of nutrition as a causing and preventive factor is not fully explored. The aim of this study is to associate dietary patterns with magnetic resonance imaging (MRI) parameters in a European population (Greece, Italy, and Serbia) affected by NAFLD. For the first time, iron-corrected T1 (cT1), proton density fat fraction (PDFF), and the liver inflammation fibrosis score (LIF) were examined in relation to diet. A total of 97 obese patients with NAFLD from the MAST4HEALTH study were included in the analysis. A validated semi-quantitative food frequency questionnaire (FFQ) was used to assess the quality of diet…

InflammationHealth Toxicology and MutagenesisPublic Health Environmental and Occupational HealthRNASHdietary patternsFibrosisMagnetic Resonance ImagingNAFLD; NASH; MRI; dietary patterns; MAST4HEALTHArticleDiabetes Mellitus Type 2LiverNon-alcoholic Fatty Liver DiseaseNAFLDMAST4HEALTHHumansMedicineMRI
researchProduct

Delay-dependent exponential stabilization of positive 2D switched state-delayed systems in the Roesser model

2014

This paper deals with the controller synthesis for a class of positive two-dimensional (2D) switched delay systems described by the Roesser model. This kind of systems has the property that the states take nonnegative values whenever the initial boundaries are nonnegative, some delay-dependent sufficient conditions for the exponential stability of positive 2D switched systems with state delays are given. Furthermore, the design of positive state feedback controller under which the resulting closed-loop system meets the requirements of positivity and exponential stability is presented in terms of linear matrix inequalities (LMIs). An example is included to illustrate the effectiveness of the…

Information Systems and Management2D system; Exponential stability; Positive switched system; Stabilization; Time delay; Artificial Intelligence; Software; Control and Systems Engineering; Theoretical Computer Science; Computer Science Applications1707 Computer Vision and Pattern Recognition; Information Systems and ManagementComputer Science Applications1707 Computer Vision and Pattern RecognitionState (functional analysis)Linear matrixExponential stabilityStabilizationComputer Science ApplicationsTheoretical Computer Science2D systemDelay dependentExponential stabilizationPositive switched systemExponential stabilityArtificial IntelligenceControl and Systems EngineeringControl theoryFull state feedbackTime delaySoftwareMathematicsInformation Sciences
researchProduct

Some Experiments in Supervised Pattern Recognition with Incomplete Training Samples

2002

This paper presents some ideas about automatic procedures to implement a system with the capability of detecting patterns arising from classes not represented in the training sample. The procedure aims at incorporating automatically to the training sample the necessary information about the new class for correctly recognizing patterns from this class in future classification tasks. The Nearest Neighbor rule is employed as the central classifier and several techniques are added to cope with the peril of incorporating noisy data to the training sample. Experimental results with real data confirm the benefits of the proposed procedure.

Information extractionComputer sciencebusiness.industryAnomaly detectionPattern recognitionArtificial intelligencebusinessMachine learningcomputer.software_genreClassifier (UML)computerk-nearest neighbors algorithm
researchProduct

Evidence-Based Knowledge Management: an approach to effectively promote good health-care decision-making in the Information Era.

2009

The sharing of information and the growth of knowledge together represent a foundation for the promotion of quality improvement of health care systems. This paper concerns knowledge, not only from an epistemological point of view, but also from a pragmatic one. In our paper, knowledge is discussed as the hub to promote better decision making and continuous professional development. Effective thinking is particularly needed. The critical point is to think about how health care systems can develop both an effective knowledge management network and how health-care organizations can actually be based on it. In this way, knowledge and knowledge hierarchy are defined according to Russel Achkoff's…

Information managementGrowth of knowledgeKnowledge managementEvidence-Based Medicinebusiness.industryData managementKnowledge engineeringDecision MakingKnowledge value chainDecision making; Evidence-Based Medicine; Clinical governance; Knowledge managementBody of knowledgeOrganizational learningEmergency MedicineInternal MedicinePersonal knowledge managementMedicineHumanshealth care decision making evidence based medicine managementPractice Patterns Physicians'businessMedical InformaticsInternal and emergency medicine
researchProduct