RA is a dangerous and chronic disease that should be analyzed and detected in its early stages. Thus, the aim of this thesis is to develop a new approach for the identification of rheumatoid arthritis through knee image processing techniques and neural network classifier. Thus, any supplied knee image must be classified either normal or abnormal. The proposed system uses knees images obtained from a created database comprised of 300 images for training and 300 images for testing phase. The used image processing techniques facilitate the diagnosis of that disease by analyzing and pointing out the rheumatoid arthritis signs and symptoms through extracting the useful and needed features or patterns such as the distance between the femoral and tibial bones, joint damage, bone widening and stiffening. Moreover,the developed system helps the doctors to accurately classify the RA knee X-ray images since it is designed to stimulate the human visual inspection that is based on visualizing some related features and signs of RA.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
RA is a dangerous and chronic disease that should be analyzed and detected in its early stages. Thus, the aim of this thesis is to develop a new approach for the identification of rheumatoid arthritis through knee image processing techniques and neural network classifier. Thus, any supplied knee image must be classified either normal or abnormal. The proposed system uses knees images obtained from a created database comprised of 300 images for training and 300 images for testing phase. The used image processing techniques facilitate the diagnosis of that disease by analyzing and pointing out the rheumatoid arthritis signs and symptoms through extracting the useful and needed features or patterns such as the distance between the femoral and tibial bones, joint damage, bone widening and stiffening. Moreover,the developed system helps the doctors to accurately classify the RA knee X-ray images since it is designed to stimulate the human visual inspection that is based on visualizing some related features and signs of RA.
Abdulkader Helwan is PHD candidate at Near East University, Nicosia, Mersin-10, Turkey. He is currently a part time lecturer at the same university. He is a member of the applied artificial intelligence research centre. Research interests include artificial intelligence in medicine, Neural networks, and image processing.He has many published papers
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -RA is a dangerous and chronic disease that should be analyzed and detected in its early stages. Thus, the aim of this thesis is to develop a new approach for the identification of rheumatoid arthritis through knee image processing techniques and neural network classifier. Thus, any supplied knee image must be classified either normal or abnormal. The proposed system uses knees images obtained from a created database comprised of 300 images for training and 300 images for testing phase. The used image processing techniques facilitate the diagnosis of that disease by analyzing and pointing out the rheumatoid arthritis signs and symptoms through extracting the useful and needed features or patterns such as the distance between the femoral and tibial bones, joint damage, bone widening and stiffening. Moreover,the developed system helps the doctors to accurately classify the RA knee X-ray images since it is designed to stimulate the human visual inspection that is based on visualizing some related features and signs of RA. 76 pp. Englisch. N° de réf. du vendeur 9783659811593
Quantité disponible : 2 disponible(s)
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - RA is a dangerous and chronic disease that should be analyzed and detected in its early stages. Thus, the aim of this thesis is to develop a new approach for the identification of rheumatoid arthritis through knee image processing techniques and neural network classifier. Thus, any supplied knee image must be classified either normal or abnormal. The proposed system uses knees images obtained from a created database comprised of 300 images for training and 300 images for testing phase. The used image processing techniques facilitate the diagnosis of that disease by analyzing and pointing out the rheumatoid arthritis signs and symptoms through extracting the useful and needed features or patterns such as the distance between the femoral and tibial bones, joint damage, bone widening and stiffening. Moreover,the developed system helps the doctors to accurately classify the RA knee X-ray images since it is designed to stimulate the human visual inspection that is based on visualizing some related features and signs of RA. N° de réf. du vendeur 9783659811593
Quantité disponible : 1 disponible(s)
Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Helwan AbdulkaderAbdulkader Helwan is PHD candidate at Near East University, Nicosia, Mersin-10, Turkey. He is currently a part time lecturer at the same university. He is a member of the applied artificial intelligence research cent. N° de réf. du vendeur 159145786
Quantité disponible : Plus de 20 disponibles
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -RA is a dangerous and chronic disease that should be analyzed and detected in its early stages. Thus, the aim of this thesis is to develop a new approach for the identification of rheumatoid arthritis through knee image processing techniques and neural network classifier. Thus, any supplied knee image must be classified either normal or abnormal. The proposed system uses knees images obtained from a created database comprised of 300 images for training and 300 images for testing phase. The used image processing techniques facilitate the diagnosis of that disease by analyzing and pointing out the rheumatoid arthritis signs and symptoms through extracting the useful and needed features or patterns such as the distance between the femoral and tibial bones, joint damage, bone widening and stiffening. Moreover,the developed system helps the doctors to accurately classify the RA knee X-ray images since it is designed to stimulate the human visual inspection that is based on visualizing some related features and signs of RA.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch. N° de réf. du vendeur 9783659811593
Quantité disponible : 1 disponible(s)
Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. A BPNN for the identification of Rheumatoid arthritis | Abdulkader Helwan (u. a.) | Taschenbuch | 76 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659811593 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 104045158
Quantité disponible : 5 disponible(s)