Taschenbuch. Condition: 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. Seller Inventory # 9786205052945

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Torres Marques:Machine Learning in Heal

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Machine Learning in Healthcare

Bruno Torres Marques|Ana Kely Lopes Ferreira

Published by Our Knowledge Publishing, 2022

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Machine Learning in Healthcare

Bruno Torres Marques

Published by Our Knowledge Publishing Aug 2022, 2022

ISBN 10: 6205052946 ISBN 13: 9786205052945

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Taschenbuch. Condition: 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. Seller Inventory # 9786205052945

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

Bruno Torres Marques

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ISBN 10: 6205052946 ISBN 13: 9786205052945

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Taschenbuch. Condition: 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. Seller Inventory # 9786205052945

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