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Prospective testing of clinical mamography workstation for CAD: ROC methodology in radiologic imaging. Em um estudo prospectivo de Computerized detection of abnormal asymmetry in digital chest radiographs.

Image feature analysis and computer-aided diagnosis in digital radiography. Image feature analysis and monnnier aided diagnosis in digital radiography: Computer-aided diagnosis and its potential impact on diagnostic radiology.

Descarga de libros para Pierre Monnier – Free E-Book Download

Computer-aided diagnosis radiodiagnkstico medical imaging. Os atributos calculados para cada ROI foram utilizados como entrada em uma rede neural artificial.


Characterization of breast masses using texture and shape features. Automated detection of microcalcifications in mammography. West J Med ; Benefit of independent double reading in a population-based mammography screening program. Automated abnormal asymmetry detection in digital posteroanterior chest radiographs.

Computerized detection of masses in digital mammograms: Abstract Several technological developments are contributing to increase the use of imaging techniques in biomedical research and clinical medicine.

American College of Radiology, Many investigators have attempted to develop computerized routines for automated detection and quantitative analysis of abnormalities in radiological images. Computerized analysis of breast lesions in three dimensions using dynamic magnetic resonance radiodiagnosico.

ROC analysis applied to the evaluation of medical imaging techniques.

Wavelet transform improves contrast enhancement of digital mammographic images. These routines have been referred to as computer-aided diagnosis. Computer-aided techniques to characterize solitary pulmonary nodules imaged on CT.

Publications of the department

Clinical application of CAD in the chest. Artigos e detalhes podem ser encontrados nos anais do International Workshop on Computer-Aided Diagnosis Esta metodologia, descrita inicialmente por Chan et al. A Figura 3 apresenta um esquema de uma rede neural artificial multicamadas do tipo “feedforward”. Textural features of images classification.


Br J Radiol ; In this paper we discuss the basic concepts of computer-aided diagnosis and review the literature. Characterization of breast cancer using statistical approaches.

Application of expert systems to mammographic image analysis. Stochastic and deterministic texture modeling and analysis for image processing in chest radiography. Services on Demand Journal. Excerpta Medica, International Congress Series Computer aids radiodiagnoetico mammographic diagnosis.

Radiologic errors in patients with lung cancer. Apoio financeiro da Fapesp. Computer-aided diagnosis in radiology.

Manual de radiodiagnóstico – Jean-Pierre Monnier – Google Books

Pattern classification and scene analysis. Computer-aided diagnosis applied to US of solid breast nodules by using neural networks. Computerized analysis of interstitial infiltrates on chest radiographs: Mammographic features of consecutive nonpalpable breast cancers.

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