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Computer-aided diagnosis in radiology. Abstract Several technological developments are contributing to increase the use of imaging techniques in biomedical research and clinical medicine.

Many investigators have attempted to develop computerized routines for automated detection and quantitative analysis of abnormalities in radiological images. These routines have been referred to as computer-aided diagnosis.

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In this paper we discuss the basic concepts of computer-aided diagnosis and review the literature. A Figura 3 apresenta um esquema de uma rede neural artificial multicamadas do monnidr “feedforward”.

Esta metodologia, descrita inicialmente por Chan et al. Em um estudo prospectivo de Artigos e detalhes podem ser encontrados nos anais do International Workshop on Computer-Aided Diagnosis Armato III et al. Os atributos calculados para cada ROI foram utilizados como entrada em uma rede neural artificial. Computer-aided diagnosis and its potential impact on diagnostic radiology.


Computer-aided mznual in medical imaging. Benefit of independent double reading in a population-based mammography screening program. Wavelet transform improves contrast enhancement of digital mammographic images. Characterization of breast cancer using statistical approaches. Textural features of images classification.

Pattern classification and scene analysis. Mammographic features of consecutive nonpalpable breast cancers. Image feature analysis and computer-aided diagnosis in digital radiography. Automated detection of microcalcifications in mammography. Detection of radiographic abnormalities in mammograms by means of optical scanning and computer analysis.

Computerized detection of masses in digital mammograms: Prospective testing of clinical mamography workstation for CAD: Kluwer Academic Publishers, Radiologic errors in patients with lung cancer. West J Med ; Clinical application of CAD in the chest. Image feature analysis and computer-aided diagnosis in digital radiography: Computerized analysis of interstitial infiltrates on chest radiographs: Image feature analysis and computer aided diagnosis in digital radiography: Computerized detection of abnormal asymmetry in digital chest radiographs.

Computer aids to mammographic diagnosis. Br J Radiol ; Application of expert systems to mammographic image analysis. Am J Physiol Imaging ;4: American College of Radiology, Artificial neural networks in chest radiography: Characterization of breast masses using texture and shape features.


Computer-aided diagnosis applied to US of solid breast nodules by using neural networks. Computerized analysis of breast lesions in three dimensions using dynamic magnetic resonance imaging.

Manual práctico de técnicas de radiodiagnóstico – Jean-Pierre Monnier, J.-M. Tubiana – Google Books

Automated abnormal asymmetry detection in digital posteroanterior chest radiographs. Stochastic and deterministic texture modeling and analysis for image processing in chest radiography.

Computer-aided techniques to characterize solitary pulmonary nodules imaged on CT. ROC analysis applied to the evaluation of medical imaging techniques.

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ROC mohnier in radiologic imaging. Excerpta Medica, International Congress Series The digital database for screening mammography. Apoio financeiro da Fapesp. All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License. Services on Demand Journal. How to cite this article.