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Artificial Intelligence in Pathological Image Analysis
Da: California Books, Miami, FL, U.S.A.
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Artificial Intelligence in Pathological Image Analysis
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Artificial Intelligence in Pathological Image Analysis
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Artificial Intelligence in Pathological Image Analysis
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Artificial Intelligence in Pathological Image Analysis
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Artificial Intelligence in Pathological Image Analysis
Da: Rarewaves USA, OSWEGO, IL, U.S.A.
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Artificial Intelligence in Pathological Image Analysis
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Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In routine pathological diagnosis, histopathological and cytopathological examination of specimens is conventionally performed under light microscopy. Whole slide images (WSIs) are the digitized counterparts of conventional glass slides obtained via specialized scanning devices. In recent years, the introduction of digital pathology into clinical workflows such as intraoperative consultations and secondary consultations is increasing steadily. The advent of WSIs has led to the application of medical image analysis, machine learning, and deep learning approaches for aiding pathologists in inspecting WSIs and routine diagnosis. Deep learning in particular has found a wide array of applications (e.g., classification, segmentation, and patient outcome predictions) in computational pathology. In a time of distinct paradigm shifts and novel technological innovations, it is necessary for us to establish a unified comprehension(s) of artificial intelligence (AI) approaches in experimental and clinical pathology. In this Special Issue entitled 'Artificial Intelligence in Pathological Image Analysis', we collected a review and thirteen research articles in the areas of AI models in clinical and experimental pathology and computer vision in pathological image analysis. The published studies in this Special Issue provide great insights into the latest knowledge about the application of AI for pathological image analysis. Codice articolo 9783725821419
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Artificial Intelligence in Pathological Image Analysis
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.
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Hardback. Condizione: New. Codice articolo LU-9783725821419
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Artificial Intelligence in Pathological Image Analysis
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Condizione: As New. Unread book in perfect condition. Codice articolo 48538852
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Artificial Intelligence in Pathological Image Analysis (Hardcover)
Da: CitiRetail, Stevenage, Regno Unito
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Hardcover. Condizione: new. Hardcover. In routine pathological diagnosis, histopathological and cytopathological examination of specimens is conventionally performed under light microscopy. Whole slide images (WSIs) are the digitized counterparts of conventional glass slides obtained via specialized scanning devices. In recent years, the introduction of digital pathology into clinical workflows such as intraoperative consultations and secondary consultations is increasing steadily. The advent of WSIs has led to the application of medical image analysis, machine learning, and deep learning approaches for aiding pathologists in inspecting WSIs and routine diagnosis. Deep learning in particular has found a wide array of applications (e.g., classification, segmentation, and patient outcome predictions) in computational pathology. In a time of distinct paradigm shifts and novel technological innovations, it is necessary for us to establish a unified comprehension(s) of artificial intelligence (AI) approaches in experimental and clinical pathology. In this Special Issue entitled "Artificial Intelligence in Pathological Image Analysis", we collected a review and thirteen research articles in the areas of AI models in clinical and experimental pathology and computer vision in pathological image analysis. The published studies in this Special Issue provide great insights into the latest knowledge about the application of AI for pathological image analysis. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9783725821419
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