Machine learning and automation methods for the segmentation, classification and quantification of testicular tissue sections
Analysis of immunofluorescent images can be time-consuming and observer-dependant. We aimed to develop a standardised method for analysing immunofluorescent images of human and mouse testicular tissues using an existing software package. We used QuPath to train and apply an artificial neural network...
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| Asıl Yazarlar: | , , , , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Bioscientifica
2026-05-01
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| Seri Bilgileri: | Reproduction and Fertility |
| Konular: | |
| Online Erişim: | https://raf.bioscientifica.com/view/journals/raf/7/2/RAF-25-0210.xml |
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