Search results for " Mammography"

showing 10 items of 23 documents

MAGIC-5: an Italian mammographic database of digitised images for research

2008

The implementation of a database of digitised mammograms is discussed. The digitised images were collected beginning in 1999 by a community of physicists in collaboration with radiologists in several Italian hospitals as a first step in developing and implementing a computer-aided detection (CAD) system. All 3,369 mammograms were collected from 967 patients and classified according to lesion type and morphology, breast tissue and pathology type. A dedicated graphical user interface was developed to visualise and process mammograms to support the medical diagnosis directly on a high-resolution screen. The database has been the starting point for developing other medical imaging applications,…

AdultLesion typeDatabases Factualmammographic databaseBreast NeoplasmsCADcomputer.software_genreSensitivity and SpecificityDatabaseMedical imagingHumansMedicineMammographyRadiology Nuclear Medicine and imagingGridMedical image processingMedical diagnosisAgedRetrospective StudiesGraphical user interfacecomputer assisted detectionDatabasePoint (typography)medicine.diagnostic_testbusiness.industryMagic (programming)General MedicineMiddle Agedimage processingRadiographic Image EnhancementItalyRadiographic Image Interpretation Computer-AssistedFemaleTomography X-Ray Computedbusinessdatabase; mammography; medical image processing; gridcomputerMammographyLa radiologia medica
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BACKGROUND PARENCHYMAL ENHANCEMENT, MAMMOGRAPHIC DENSITY AND RISK OF BREAST CANCER

2018

BREAST NEOPLASM MAMMOGRAPHYSettore MED/36 - Diagnostica Per Immagini E Radioterapia
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Can 3D Digital Breast Tomosynthesis (DBT) improve breast malignant pathology detection? A case-to-case imaging comparison between 3D DBT and 2D Mammo…

2014

Learning objectives Background Findings and procedure details Conclusion Personal information References

Breast Mammography Digital radiography Screening Computer Applications-3D eLearning Cancer Education and traininggenetic structuresComputer Applications-3DeducationEducation and trainingDigital radiographyScreeningeLearningBreastMammographyCancer
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Underuse of long-term routine hospital follow-up care in patients with a history of breast cancer?

2011

Abstract Background After primary treatment for breast cancer, patients are recommended to use hospital follow-up care routinely. Long-term data on the utilization of this follow-up care are relatively rare. Methods Information regarding the utilization of routine hospital follow-up care was retrieved from hospital documents of 662 patients treated for breast cancer. Utilization of hospital follow-up care was defined as the use of follow-up care according to the guidelines in that period of time. Determinants of hospital follow up care were evaluated with multivariate analysis by generalized estimating equations (GEE). Results The median follow-up time was 9.0 (0.3-18.1) years. At fifth and…

Cancer ResearchPediatricsMultivariate analysisAftercareComorbidityGUIDELINESGeelaw.inventionCohort StudiesRandomized controlled triallawNetherlandsAged 80 and overSURVIVORSmedicine.diagnostic_testBreast neoplasmFollow-upNeoplasms Second PrimaryMiddle Agedlcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogensCombined Modality TherapyUtilizationOncologyPractice Guidelines as TopicRECURRENCESHormonal therapyFemaleGuideline AdherenceHEALTHResearch ArticleCohort studyMammographyAdultmedicine.medical_specialtyOutpatient Clinics HospitalAntineoplastic Agents HormonalMatched-Pair AnalysisBreast Neoplasmslcsh:RC254-282Breast cancerGeneticsmedicineHumansMammographyMETAANALYSISAgedbusiness.industryPatient Acceptance of Health Caremedicine.diseaseComorbidityTRENDSRANDOMIZED-TRIALHealth Care SurveysPhysical therapyPatient ComplianceUPDATESURVEILLANCE MAMMOGRAPHYbusinessFollow-Up Studies
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Mammographic images segmentation based on chaotic map clustering algorithm

2013

Background: This work investigates the applicability of a novel clustering approach to the segmentation of mammographic digital images. The chaotic map clustering algorithm is used to group together similar subsets of image pixels resulting in a medically meaningful partition of the mammography. Methods: The image is divided into pixels subsets characterized by a set of conveniently chosen features and each of the corresponding points in the feature space is associated to a map. A mutual coupling strength between the maps depending on the associated distance between feature space points is subsequently introduced. On the system of maps, the simulated evolution through chaotic dynamics leads…

Cooperative behaviorClustering algorithmsComputer scienceFeature vectorCorrelation clusteringPhysics::Medical PhysicsMass lesionsMicrocalcificationsImage processingBreast NeoplasmsDigital imageSegmentationBreast cancerImage Processing Computer-AssistedCluster AnalysisHumansRadiology Nuclear Medicine and imagingSegmentationComputer visionCluster analysisFeaturesPixelChaotic maps Clustering algorithms Cooperative behavior Segmentation Mammography Features Mass lesions Microcalcifications Breast cancerbusiness.industrySegmentation-based object categorizationCalcinosisSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Radiographic Image EnhancementChaotic mapsRadiology Nuclear Medicine and imagingComputer Science::Computer Vision and Pattern RecognitionFemaleArtificial intelligencebusinessAlgorithmsMammographyResearch Article
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Fuzzy technique for microcalcifications clustering in digital mammograms

2012

Abstract Background Mammography has established itself as the most efficient technique for the identification of the pathological breast lesions. Among the various types of lesions, microcalcifications are the most difficult to identify since they are quite small (0.1-1.0 mm) and often poorly contrasted against an images background. Within this context, the Computer Aided Detection (CAD) systems could turn out to be very useful in breast cancer control. Methods In this paper we present a potentially powerful microcalcifications cluster enhancement method applicable to digital mammograms. The segmentation phase employs a form filter, obtained from LoG filter, to overcome the dependence from …

Databases FactualMicrocalcificationsBreast NeoplasmsContext (language use)CADcomputer.software_genreSensitivity and SpecificityFuzzy logicClusteringBreast cancerSegmentationBreast cancerC-meansImage Processing Computer-AssistedmedicineCluster AnalysisHumansMammographyRadiology Nuclear Medicine and imagingSegmentationCluster analysisSpatial filtersmedicine.diagnostic_testMultimediabusiness.industryCalcinosisPattern recognitionmedicine.diseaseSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Computer aided detectionFuzzy logicRadiology Nuclear Medicine and imagingFemaleArtificial intelligencebusinesscomputerAlgorithmsMammographyResearch ArticleBreast cancer Microcalcifications Spatial filters Clustering Fuzzy logic C-means Mammography SegmentationBMC Medical Imaging
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MR-Mammographie zur Responsekontrolle bei primärer Chemobrachytherapie des BET-inoperablen Mammakarzinoms

2001

Ziel: Evaluierung (1) moglicher storender Effekte neoadjuvanter Chemobrachytherapie auf die MR-Mammographie, (2) der Eignung der MRM zur Bestimmung der Resttumorgrose nach Therapie und (3) der Eignung der MRM zur Prognose des Gesamtansprechens nach den ersten Therapiezyklen. Methoden: 14 Patientinnen, die an einer praoperativen Tumorreduktionstherapie (4 Zyklen Chemotherapie kombiniert mit interstitieller Radiotherapie) teilnahmen, wurden mittels dynamischer MR-Mammographie (1 T, zeitliche Auflosung 93 s, raumliche Auflosung 1,9 mm, 0,1 mmol/kg GdDTPA) vor Therapie, nach den ersten beiden Chemotherapiezyklen, nach der Radiotherapie und dem dritten Zyklus sowie nach Therapieabschluss untersu…

End of therapybusiness.industrymedicine.medical_treatmentSingle tumorComplete remissionTumor responseRadiation therapyInterstitial radiotherapyMedicineRadiology Nuclear Medicine and imagingbusinessNuclear medicineNeoadjuvant therapyMr mammographyRöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren
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Distributed medical images analysis on a Grid infrastructure

2007

In this paper medical applications on a Grid infrastructure, the MAGIC-5 Project, are presented and discussed. MAGIC-5 aims at developing Computer Aided Detection (CADe) software for the analysis of medical images on distributed databases by means of GRID Services. The use of automated systems for analyzing medical images improves radiologists’ performance; in addition, it could be of paramount importance in screening programs, due to the huge amount of data to check and the cost of related manpower. The need for acquiring and analyzing data stored in different locations requires the use of Grid Services for the management of distributed computing resources and data. Grid technologies allow…

GRID; Virtual Organization; Medical ApplicationsComputer Networks and CommunicationsComputer scienceVirtual organizationmammographyComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONcomputer.software_genreGRID; virtual organization; CAD; mammography; medical applicationsSoftwareComputer aided diagnosimedicineMammographyCADComputer visionGridLung tumorDistributed databasemedicine.diagnostic_testmedical applicationsbusiness.industryDigital imagingGridDigital imagingHardware and ArchitectureImage analysiArtificial intelligenceData miningAlzheimer diseasevirtual organizationGRIDbusinesscomputerSoftwareMammography
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Lesion Segmentation in Breast Sonography

2010

Sonography is gaining popularity as an adjunct screening technique for assessing abnormalities in the breast This is particularly true in cases where the subject has dense breast tissue, wherein widespread techniques like Digital Mammography (DM) fail to produce reliable outcomes This article proposes a novel and fully automatic methodology for breast lesion segmentation in B-mode Ultra-Sound (US) images by utilizing region, boundary and shape information to cope up with the inherent artifacts present in US images The proposed approach has been evaluated using a set of sonographic images with accompanying expert-provided ground truth.

Ground truthmedicine.medical_specialtyLesion segmentationDigital mammographybusiness.industryBreast lesionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONmedicine.diseaseBreast sonographyBreast cancerFully automaticmedicineComputer visionSegmentationRadiologyArtificial intelligencebusiness
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SU-E-I-83: Detectability Limits of a New Positron Emission Mammography in Relation to Tumour-Size, Tumour-To-Background Ratio and Activity Concentrat…

2017

Purpose:Positron emission mammography(PEM) improves spatial resolution and sensitivity, making it suitable for early breast tumours detection. The aim of this study is to evaluate the limits of a dedicated breast PET in terms of tumour‐size, tumour‐to‐background activity concentration ratio (TBR) and activity concentration. Methods: A dedicated PEM is evaluated. To characterize the device, we use a phantom of 15 cm of diameter containing 6 inserts of inner diameters 18, 15, 11, 8, 5 and 3 mm. To evaluate the detectability limits images are acquired by varying the TBR from 10 to 2 and without background activity concentration. In all the studies the activity concentration for the 6 inserts i…

Materials sciencemedicine.diagnostic_testbusiness.industryGeneral MedicineImaging phantomPositronTumour sizeActivity concentrationmedicineMedical imagingMammographyPositron emission mammographyNuclear medicinebusinessImage resolutionMedical Physics
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