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Digital Pathology Pipeline by DataSentics
Automate your medical image analytics at scale

AI-powered Digital Pathology Pipeline by DataSentics is revolutionizing cancer diagnosis by rapidly analyzing millions of medical images and reducing inaccuracies. The Digital Pathology Pipeline leverages AI to automate and streamline the analysis of microscopy images. Built on the Databricks Lakehouse Platform, this solution is used by pathologists, molecular biologists and researchers to accelerate data processing and to allow them to focus on a wider area of potential treatments. Researchers can easily integrate their own deep learning models or train new ones to allow AI to take charge of tedious tasks like segmentation, detection and classification of pathology images. 

With the Digital Pathology Pipeline, you can:

  • Measure the size of tumors
  • Visualize tumors using heat maps
  • Segment and highlight functional units of tissues
  • Cluster samples into groups based on their visual characteristics
  • Detect anomalies in pathology, radiology and other modalities of images

With the Digital Pathology Pipeline, organizations will realize benefits including:

  • Reducing the cost of analysis of medical images from tens of dollars to less than 1 USD per image
  • Automating image analytics workload using AI and the Databricks Workflows
  • Enabling teams to focus on data science and research, widening the range of examined candidate treatments

Watch this video to learn more

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