what is computational pathology

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Computational pathology is theanalysis of digitized pathology images with associated metadata, typically using artificial intelligence (AI) methods Deep learning is a type of AI method, commonly used in computational pathology, that is able to learn how to perform tasks based on examples

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  • What is deep learning in computational pathology?

  • Deep learning is a type of AI method, commonly used in computational pathology, that is able to learn how to perform tasks based on examples Training a typical supervised deep learning algorithm in computational pathology involves large amounts of labeled training data

  • How can computational pathology be used to improve the practice of Pathology?

  • How can computational pathology be used to improve the practice of pathology? Pathologists taking more of a leadership position within their institutions is key to the success of computational pathology as it require deep changes within the lab.

  • What is supervised machine learning in computational pathology?

  • Training a typical supervised deep learning algorithm in computational pathology involves large amounts of labeled training data Supervised machine learning: training based on labels associated with a data point (i.e. ground truth)

  • Is computational pathology the new big data microscope?

  • Coming into focus: computational pathology as the new big data microscope. Am J Pathol. 2015; 185 (3):600鈥?01. [ PubMed] [ Google Scholar] [ Ref list]

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