Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Breast cancer is a disease characterized by rampant proliferation of cells that can lead to the appearance of tumors near the breast region. However, the diagnosis of breast cancer has faced several challenges to health professionals and specialists, since it is difficult to analyze biopsy samples, for example. With this in mind and considering the computational advance of computer vision techniques for image recognition, many researchers and experts consider that the use of CAD (Computer-Aided Diagnosis) systems to aid in the diagnosis of breast cancer through the use of image processing and machine learning techniques can contribute positively in the diagnosis of breast cancer among experts. Thus, this work implements three CNN approaches of VGG-16 architecture using the techniques of knowledge transfer and color transfer, aiming to propose and evaluate a solution for the detection of breast cancer in histopathological cancer images using CNN with knowledge transfer and color transfer. 52 pp. Englisch. N� de r�f. du vendeur 9786205052945

Contacter le vendeur

Acheter neuf

EUR 43,90

Exp�dition �EUR 23
Exp�dition depuis Allemagne vers Etats-Unis

Quantit� disponible : 2 disponible(s)

Ajouter au panier

Image fournie par le vendeur

Machine Learning in Healthcare

Bruno Torres Marques|Ana Kely Lopes Ferreira

Edit� par Our Knowledge Publishing, 2022

ISBN 10 : 6205052946 ISBN 13 : 9786205052945

Neuf Couverture souple

Vendeur : moluna, Greven, Allemagne

�valuation du vendeur 4 sur 5 �toiles

Etat : New. N� de r�f. du vendeur 671639558

Contacter le vendeur

Acheter neuf

EUR 35,62

Exp�dition �EUR 48,99
Exp�dition depuis Allemagne vers Etats-Unis

Quantit� disponible : Plus de 20 disponibles

Ajouter au panier

Image fournie par le vendeur

Machine Learning in Healthcare

Bruno Torres Marques

Edit� par Our Knowledge Publishing Aug 2022, 2022

ISBN 10 : 6205052946 ISBN 13 : 9786205052945

Neuf Taschenbuch

impression � la demande

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Breast cancer is a disease characterized by rampant proliferation of cells that can lead to the appearance of tumors near the breast region. However, the diagnosis of breast cancer has faced several challenges to health professionals and specialists, since it is difficult to analyze biopsy samples, for example. With this in mind and considering the computational advance of computer vision techniques for image recognition, many researchers and experts consider that the use of CAD (Computer-Aided Diagnosis) systems to aid in the diagnosis of breast cancer through the use of image processing and machine learning techniques can contribute positively in the diagnosis of breast cancer among experts. Thus, this work implements three CNN approaches of VGG-16 architecture using the techniques of knowledge transfer and color transfer, aiming to propose and evaluate a solution for the detection of breast cancer in histopathological cancer images using CNN with knowledge transfer and color transfer.VDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 52 pp. Englisch. N� de r�f. du vendeur 9786205052945

Contacter le vendeur

Acheter neuf

EUR 43,90

Exp�dition �EUR 60
Exp�dition depuis Allemagne vers Etats-Unis

Quantit� disponible : 1 disponible(s)

Ajouter au panier

Image fournie par le vendeur

Machine Learning in Healthcare : An approach for breast cancer detection on histopathological images

Bruno Torres Marques

Edit� par Our Knowledge Publishing

ISBN 10 : 6205052946 ISBN 13 : 9786205052945

Neuf Taschenbuch

impression � la demande

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Breast cancer is a disease characterized by rampant proliferation of cells that can lead to the appearance of tumors near the breast region. However, the diagnosis of breast cancer has faced several challenges to health professionals and specialists, since it is difficult to analyze biopsy samples, for example. With this in mind and considering the computational advance of computer vision techniques for image recognition, many researchers and experts consider that the use of CAD (Computer-Aided Diagnosis) systems to aid in the diagnosis of breast cancer through the use of image processing and machine learning techniques can contribute positively in the diagnosis of breast cancer among experts. Thus, this work implements three CNN approaches of VGG-16 architecture using the techniques of knowledge transfer and color transfer, aiming to propose and evaluate a solution for the detection of breast cancer in histopathological cancer images using CNN with knowledge transfer and color transfer. N� de r�f. du vendeur 9786205052945

Contacter le vendeur