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Em um estudo prospectivo de Stochastic and deterministic texture modeling and analysis for image processing in chest radiography.
Clinical application of CAD in the chest. A Figura 3 apresenta um esquema de uma rede neural artificial multicamadas do tipo “feedforward”.
Computer aids to mammographic diagnosis. Many investigators have attempted to develop computerized routines for automated detection and quantitative analysis of abnormalities in radiological images. Armato III et al. Automated detection of microcalcifications in mammography.
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Kluwer Academic Manuzl, In this paper we discuss the basic concepts of computer-aided diagnosis and review the literature. Br J Radiol ; Mammographic features of consecutive nonpalpable breast cancers. Image feature analysis and computer aided diagnosis in digital radiography: Prospective testing of clinical mamography workstation for CAD: Characterization of breast masses using texture and shape features.
Artigos e detalhes podem ser encontrados nos anais do International Workshop on Computer-Aided Diagnosis Computer-aided diagnosis in radiology. Am J Physiol Imaging ;4: Computer-aided diagnosis applied to US of solid breast nodules by using neural networks.
Apoio financeiro da Fapesp. These routines have been referred to as computer-aided diagnosis. Esta metodologia, descrita inicialmente por Chan et al. Excerpta Medica, International Congress Series ROC analysis applied to the evaluation of medical imaging techniques. Wavelet transform improves contrast enhancement of digital mammographic images. Detection of radiographic abnormalities in mammograms by means of optical mznual and computer analysis. Image feature analysis and computer-aided diagnosis in digital radiography: American Radiodlagnostico of Radiology, Computerized analysis of interstitial infiltrates on chest radiographs: Automated abnormal asymmetry detection in digital posteroanterior chest radiographs.
Publications of the department
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. How to cite this article. Pattern classification and scene analysis. ROC methodology in radiologic imaging. Radiologic errors in patients with lung cancer.
Computer-aided diagnosis in medical imaging. The digital database for screening mammography. Services on Demand Journal.
Image feature analysis and computer-aided diagnosis in digital radiography. Computer-aided techniques to characterize solitary pulmonary nodules imaged on CT.
Artificial neural networks in chest radiography: Characterization of breast cancer using statistical approaches. Computer-aided diagnosis and its potential impact on diagnostic radiology. Computerized analysis of breast lesions in three dimensions using dynamic magnetic resonance imaging.