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D2ANet: Densely Attentional-Aware Network for First Trimester Ultrasound CRL and NT Segmentation
Manual annotation of medical images is time consuming for clinical experts; therefore, reliable automatic segmentation would be the ideal way to handle large medical datasets. In this paper, we are interested in detection and segmentation of two fundamental measurements in the first trimester ultras...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | Proc IEEE Int Symp Biomed Imaging |
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| Κύριοι συγγραφείς: | , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
2023
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7616422/ https://ncbi.nlm.nih.gov/pubmed/39247913 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ISBI53787.2023.10230727 |
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