This thesis is dedicated to assess the accuracy of logistic regression (LR) and artificial neural networks (ANN) in the diagnosis of calvarial lesions using computed tomography (CT). The … mais…
This thesis is dedicated to assess the accuracy of logistic regression (LR) and artificial neural networks (ANN) in the diagnosis of calvarial lesions using computed tomography (CT). The importance of the different features needed for the diagnosis in both models is also analyzed. The models were developed using patients with calvarial lesions as the only known disease were enrolled. All patients were studied with plain films and CT. Other imaging thecniques were used when available. The clinical and CT data were used for developing LR and ANN models. Both models were tested with the jacknife (leave-one-out) method. The best ANNs were obtained varying iterations and hidden neurons by selecting the one with higher area under the receiver operating characteristic curve (ROC). The final results of each model were compared by means of area under ROC curves. There was no statistically significant difference between LR and ANN in differentiating benign and malingnant lesions. In characterizing every histologic diagnoses, ANN was statistically superior to LR (p<0.001). ANNs were demonstrated adequate to diagnose the most common lesions in the cranial vault and to help the radiologist with misleading and infrequent appearances. ANN discover hidden interactions among variables that are missed in the statistical analysis. Buch (fremdspr.) Arana Estanislao Taschenbuch, Dissertation.Com, 01.12.1997, Dissertation.Com, 1997<
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Comparacion de Modelos Estadisticos y Redes Neuronales = Diagnostic Imaging of Focal C Comparacion de Modelos Estadisticos y Redes Neuronales = Diagnostic Imaging of Focal C Buch (fremdsp… mais…
Comparacion de Modelos Estadisticos y Redes Neuronales = Diagnostic Imaging of Focal C Comparacion de Modelos Estadisticos y Redes Neuronales = Diagnostic Imaging of Focal C Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Spanische Bücher, Dissertation.Com<
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Arana Estanislao: Diagnostico Por la Imagen de las Lesiones Focales de la Calota: Comparacion de Modelos Estadisticos y Redes Neuronales = Diagnostic Imaging of Focal C - Livro de bolso
Estanislao, Arana: Diagnostico Por la Imagen de las Lesiones Focales de la Calota Comparacion de Modelos Estadisticos y Redes Neuronales = Diagnostic Imaging of Focal C - novo libro
Estanislao, Arana: Diagnostico Por la Imagen de las Lesiones Focales de la Calota Comparacion de Modelos Estadisticos y Redes Neuronales = Diagnostic Imaging of Focal C - novo libro
This thesis is dedicated to assess the accuracy of logistic regression (LR) and artificial neural networks (ANN) in the diagnosis of calvarial lesions using computed tomography (CT). The … mais…
This thesis is dedicated to assess the accuracy of logistic regression (LR) and artificial neural networks (ANN) in the diagnosis of calvarial lesions using computed tomography (CT). The importance of the different features needed for the diagnosis in both models is also analyzed. The models were developed using patients with calvarial lesions as the only known disease were enrolled. All patients were studied with plain films and CT. Other imaging thecniques were used when available. The clinical and CT data were used for developing LR and ANN models. Both models were tested with the jacknife (leave-one-out) method. The best ANNs were obtained varying iterations and hidden neurons by selecting the one with higher area under the receiver operating characteristic curve (ROC). The final results of each model were compared by means of area under ROC curves. There was no statistically significant difference between LR and ANN in differentiating benign and malingnant lesions. In characterizing every histologic diagnoses, ANN was statistically superior to LR (p<0.001). ANNs were demonstrated adequate to diagnose the most common lesions in the cranial vault and to help the radiologist with misleading and infrequent appearances. ANN discover hidden interactions among variables that are missed in the statistical analysis. Buch (fremdspr.) Arana Estanislao Taschenbuch, Dissertation.Com, 01.12.1997, Dissertation.Com, 1997<
Nr. 3211652. Custos de envio:, Lieferbar in 2 - 3 Tage, DE. (EUR 0.00)
Comparacion de Modelos Estadisticos y Redes Neuronales = Diagnostic Imaging of Focal C Comparacion de Modelos Estadisticos y Redes Neuronales = Diagnostic Imaging of Focal C Buch (fremdsp… mais…
Comparacion de Modelos Estadisticos y Redes Neuronales = Diagnostic Imaging of Focal C Comparacion de Modelos Estadisticos y Redes Neuronales = Diagnostic Imaging of Focal C Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Spanische Bücher, Dissertation.Com<
- No. 3211652. Custos de envio:, Lieferbar in 2 - 3 Tage, DE. (EUR 0.00)
Arana Estanislao: Diagnostico Por la Imagen de las Lesiones Focales de la Calota: Comparacion de Modelos Estadisticos y Redes Neuronales = Diagnostic Imaging of Focal C - Livro de bolso
Estanislao, Arana: Diagnostico Por la Imagen de las Lesiones Focales de la Calota Comparacion de Modelos Estadisticos y Redes Neuronales = Diagnostic Imaging of Focal C - novo libro
Estanislao, Arana: Diagnostico Por la Imagen de las Lesiones Focales de la Calota Comparacion de Modelos Estadisticos y Redes Neuronales = Diagnostic Imaging of Focal C - novo libro
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Dados detalhados do livro - Diagnostico Por la Imagen de las Lesiones Focales de la Calota
EAN (ISBN-13): 9781581120141 ISBN (ISBN-10): 1581120141 Livro de bolso Ano de publicação: 1997 Editor/Editora: Dissertation.Com 240 Páginas Peso: 0,308 kg Língua: spa/Spanisch
Livro na base de dados desde 2007-04-09T09:02:44+01:00 (Lisbon) Página de detalhes modificada pela última vez em 2023-02-20T08:47:01+00:00 (Lisbon) Número ISBN/EAN: 1581120141
Número ISBN - Ortografia alternativa: 1-58112-014-1, 978-1-58112-014-1 Ortografia alternativa e termos de pesquisa relacionados: Título do livro: diagnostic imaging, focales, imagen