Single reading with computer-aided detection for screening mammography
about
Is single reading with computer-aided detection (CAD) as good as double reading in mammography screening? A systematic reviewUsefulness of grayscale inverted images in addition to standard images in digital mammography.Automatic detection of anomalies in screening mammogramsIs computer aided detection (CAD) cost effective in screening mammography? A model based on the CADET II studyEvaluation of computer-aided detection and diagnosis systems.Technology as a force for improved diagnosis and treatment of breast disease.Using computer-aided detection in mammography as a decision supportWavelet-based 3D reconstruction of microcalcification clusters from two mammographic views: new evidence that fractal tumors are malignant and Euclidean tumors are benignExploring the potential of context-sensitive CADe in screening mammography.Automated breast image classification using features from its discrete cosine transform.Effectiveness of computer-aided detection in community mammography practiceRadiologists' perceptions of computer aided detection versus double reading for mammography interpretation.False positive marks on unsuspicious screening mammography with computer-aided detection.Radiological technologists' performance for the detection of malignant microcalcifications in digital mammograms without and with a computer-aided detection systemExternal validation of a publicly available computer assisted diagnostic tool for mammographic mass lesions with two high prevalence research datasets.Cost-Effectiveness of Double Reading versus Single Reading of Mammograms in a Breast Cancer Screening Programme.Predicting the Future - Big Data, Machine Learning, and Clinical MedicineCAD May Not be Necessary for Microcalcifications in the Digital era, CAD May Benefit Radiologists for Masses.Using breast radiographers' reports as a second opinion for radiologists' readings of microcalcifications in digital mammographyMammography before post-operative radiotherapy in conservatively managed breast cancer patients: is it useful?Diagnostic Accuracy of Digital Screening Mammography With and Without Computer-Aided Detection.Agreement Between Results of Home Sleep Testing for Obstructive Sleep Apnea with and Without a Sleep Specialist.Inter-observer variability in mammography screening and effect of type and number of readers on screening outcome.Short-term outcomes of screening mammography using computer-aided detection: a population-based study of medicare enrollees.Comparison of clinical interpretation with visual assessment and quantitative coronary angiography in patients undergoing percutaneous coronary intervention in contemporary practice: the Assessing Angiography (A2) project.Foundation and methodologies in computer-aided diagnosis systems for breast cancer detection.Mammography screening using independent double reading with consensus: is there a potential benefit for computer-aided detection?The impact of digital mammography on screening a young cohort of women for breast cancer in an urban specialist breast unit.Computer-aided detection system performance on current and previous digital mammograms in patients with contralateral metachronous breast cancer.Breast cancer screening and diagnosis in the 21st century within the U.K.Evaluation of the effect of double reporting on test accuracy in screening and diagnostic imaging studies: A review of the evidence.Analog Computer-Aided Detection (CAD) information can be more effective than binary marks.Mammographic surveillance in women aged 35-39 at enhanced familial risk of breast cancer (FH02).The effect of computer-aided detection markers on visual search and reader performance during concurrent reading of CT colonography.Computer-aided detection of breast masses: four-view strategy for screening mammographyTryggo: Old norse for truth: The real truth about ground truth: New insights into the challenges of generating ground truth maps for WSI CAD algorithm evaluation.Increasing participant recruitment into large-scale screening trials: experience from the CADET II study.How to discriminate between computer-aided and computer-hindered decisions: a case study in mammography.Detecting and classifying lesions in mammograms with Deep Learning.Automated Whole-Body Bone Lesion Detection for Multiple Myeloma on 68Ga-Pentixafor PET/CT Imaging Using Deep Learning Methods.
P2860
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P2860
Single reading with computer-aided detection for screening mammography
description
2008 nî lūn-bûn
@nan
2008 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
Single reading with computer-aided detection for screening mammography
@ast
Single reading with computer-aided detection for screening mammography
@en
Single reading with computer-aided detection for screening mammography
@nl
type
label
Single reading with computer-aided detection for screening mammography
@ast
Single reading with computer-aided detection for screening mammography
@en
Single reading with computer-aided detection for screening mammography
@nl
prefLabel
Single reading with computer-aided detection for screening mammography
@ast
Single reading with computer-aided detection for screening mammography
@en
Single reading with computer-aided detection for screening mammography
@nl
P2093
P3181
P356
P1476
Single reading with computer-aided detection for screening mammography
@en
P2093
Caroline R M Boggis
Fiona J Gilbert
Jonathan James
Matthew G Wallis
Maureen G C Gillan
Olorunsola F Agbaje
Stephen W Duffy
Susan M Astley
P304
P3181
P356
10.1056/NEJMOA0803545
P407
P577
2008-10-16T00:00:00Z