Jermain, Peter R; Oswald, Martin; Langdun, Tenzin; Wright, Santana; Khan, Ashraf; Stadelmann, Thilo; Abdulkadir, Ahmed; Yaroslavsky, Anna N (2024). Deep learning-based cell segmentation for rapid optical cytopathology of thyroid cancer. Scientific Reports, 14(16389) Nature Publishing Group 10.1038/s41598-024-64855-2
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Fluorescence polarization (Fpol) imaging of methylene blue (MB) is a promising quantitative approach to thyroid cancer detection. Clinical translation of MB Fpol technology requires reduction of the data analysis time that can be achieved via deep learning-based automated cell segmentation with a 2D U-Net convolutional neural network. The model was trained and tested using images of pathologically diverse human thyroid cells and evaluated by comparing the number of cells selected, segmented areas, and Fpol values obtained using automated (AU) and manual (MA) data processing methods. Overall, the model segmented 15.8% more cells than the human operator. Differences in AU and MA segmented cell areas varied between - 55.2 and + 31.0%, whereas differences in Fpol values varied from - 20.7 and + 10.7%. No statistically significant differences between AU and MA derived Fpol data were observed. The largest differences in Fpol values correlated with greatest discrepancies in AU versus MA segmented cell areas. Time required for auto-processing was reduced to 10 s versus one hour required for MA data processing. Implementation of the automated cell analysis makes quantitative fluorescence polarization-based diagnosis clinically feasible.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
04 Faculty of Medicine > University Psychiatric Services > University Hospital of Geriatric Psychiatry and Psychotherapy |
UniBE Contributor: |
Abdulkadir, Ahmed |
Subjects: |
600 Technology > 610 Medicine & health |
ISSN: |
2045-2322 |
Publisher: |
Nature Publishing Group |
Language: |
English |
Submitter: |
Pubmed Import |
Date Deposited: |
17 Jul 2024 09:46 |
Last Modified: |
17 Jul 2024 23:17 |
Publisher DOI: |
10.1038/s41598-024-64855-2 |
PubMed ID: |
39013980 |
Uncontrolled Keywords: |
Automated cell segmentation Cytopathology Fluorescence polarization Methylene blue Semantic segmentation Thyroid cancer |
BORIS DOI: |
10.48350/199051 |
URI: |
https://boris.unibe.ch/id/eprint/199051 |
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