Image segmentation of cervical grainy sandy patches lesions associated with female genital schistosomiasis using deep convolutional neural network with U-NET architecture.
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| Title: | Image segmentation of cervical grainy sandy patches lesions associated with female genital schistosomiasis using deep convolutional neural network with U-NET architecture. |
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| Authors: | Jøker, Karl Emil1 (AUTHOR) karl.joeker@rn.dk, Leutscher, Peter Christian Derek1,2 (AUTHOR), Øby, Kristine Brøndbjerg1 (AUTHOR), Jøker, Karoline1 (AUTHOR), Randrianasolo, Bodo Sahondra3 (AUTHOR), Plocharski, Maciej4 (AUTHOR), Arenholt, Louise Thomsen Schmidt1,2 (AUTHOR) |
| Source: | PLoS Neglected Tropical Diseases. 3/5/2026, Vol. 20 Issue 3, p1-13. 13p. |
| Database: | Academic Search Ultimate |
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| ISSN: | 19352727 |
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| DOI: | 10.1371/journal.pntd.0014037 |
