Implementation of transfer learning for the segmentation of human mesenchymal stem cells-A validation study.

Journal: Tissue & cell

PMID: 37429132

Abstract

INTRODUCTION: Stem cell therapy has been gaining interest in the regeneration rather than repair of lost human tissues. However, the manual analysis of stem cells prior to implantation is a cumbersome task that can be automated to improve the efficiency and accuracy of this process.

Authors

Niha Adnan

Department of Surgery, Aga Khan University Hospital, Karachi, Pakistan.
Fahad Umer

Department of Surgery, Aga Khan University Hospital, Karachi, Pakistan. Electronic address: fahad.umer@aku.edu.
Shahzaib Malik

Information Technology University, Lahore, Pakistan.

Keywords

Algorithms Cell Tracking Data Curation Datasets as Topic Deep Learning Mesenchymal Stem Cell Transplantation Mesenchymal Stem Cells

External Resources

View on PubMed Access via DOI PubMed (37429132)

Implementation of transfer learning for the segmentation of human mesenchymal stem cells-A validation study.

Abstract

Authors

Keywords

External Resources

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