Machine Learning in Healthcare: An approach for breast cancer detection on histopathological images - Softcover
Inhaltsangabe
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.
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Es licenciado en Sistemas de Información por la Universidad Federal de Ceará. Actualmente es estudiante de maestría en Informática en la Universidad Federal de Ceará, trabajando principalmente en los siguientes temas: Informática, Minería de Datos, Aprendizaje Automático y Educación.
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Torres Marques:Machine Learning in Heal
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Torres Marques:Machine Learning in Heal
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Machine Learning in Healthcare
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9786205052945
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Machine Learning in Healthcare
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Our Knowledge Publishing Aug 2022, 2022
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Taschenbuch. Zustand: 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 Landstraße 99, 66123 Saarbrücken 52 pp. Englisch. Bestandsnummer des Verkäufers 9786205052945
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Machine Learning in Healthcare : An approach for breast cancer detection on histopathological images
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9786205052945
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Taschenbuch. Zustand: Neu. Machine Learning in Healthcare | An approach for breast cancer detection on histopathological images | Bruno Torres Marques (u. a.) | Taschenbuch | Englisch | 2022 | Our Knowledge Publishing | EAN 9786205052945 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 122748745
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