HIGHLIGHTS
- who: Rohollah Moosavi Tayebi from the McMaster University, Hamilton, ON, Canada, Kimia Lab, University of Waterloo, Waterloo, ON, Canada. , Juravinski Hospital and Cancer Centre have published the article: Automated bone marrow cytology using deep learning to generate a histogram of cell types, in the Journal: (JOURNAL)
- what: The authors develop an end-to-end deep learning-based system for automated bone marrow cytology. Subsequently the authors implement a YOLO model trained from scratch to detect and assign class probabilities to all cellular and non-cellular objects in bone marrow aspirate digital WSI. The approach shows . . .
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