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 … Mehr…
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… Mehr…
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 - Taschenbuch
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 - neues Buch
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 - neues Buch
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 … Mehr…
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. Versandkosten:, 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… Mehr…
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. Versandkosten:, 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 - Taschenbuch
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 - neues Buch
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 - neues Buch
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Detailangaben zum Buch - Diagnostico Por la Imagen de las Lesiones Focales de la Calota
EAN (ISBN-13): 9781581120141 ISBN (ISBN-10): 1581120141 Taschenbuch Erscheinungsjahr: 1997 Herausgeber: Dissertation.Com 240 Seiten Gewicht: 0,308 kg Sprache: spa/Spanisch
Buch in der Datenbank seit 2007-04-09T10:02:44+02:00 (Berlin) Detailseite zuletzt geändert am 2023-02-20T09:47:01+01:00 (Berlin) ISBN/EAN: 9781581120141
ISBN - alternative Schreibweisen: 1-58112-014-1, 978-1-58112-014-1 Alternative Schreibweisen und verwandte Suchbegriffe: Titel des Buches: diagnostic imaging, focales, imagen
