Generalising from conventional pipelines using deep learning in high-throughput screening workflows

HIGHLIGHTS

• who: Beatriz Garcia Santa Cruz from the Centre University of have published the research: Generalising from conventional pipelines using deep learning in high-throughput screening workflows, in the Journal: Scientific Reports Scientific Reports of 18/Oct/2021
• what: The authors demonstrate how to effectively leverage this approach developing two alternative pipelines (CDL and MDL) to improve the final segmentation quality. The authors focus on the two main categories (Phagophares and Late autolysosomes). The first part of the paper presents the development of the CIP-based DL approach: CDL. Since the exploratory data_analysis showed a strong . . .
  

   

  

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