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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]