Cargando…
Multi-region saliency-aware learning for cross-domain placenta image segmentation
We propose a multi-region saliency-aware learning (MSL) method for cross-domain placenta image segmentation. Unlike most existing image-level transfer learning methods that fail to preserve the semantics of paired regions, our MSL incorporates the attention mechanism and a saliency constraint into t...
Autores principales: | Zhang, Zhuomin, Davaasuren, Dolzodmaa, Wu, Chenyan, Goldstein, Jeffery A., Gernand, Alison D., Wang, James Z. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Science
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7727399/ https://www.ncbi.nlm.nih.gov/pubmed/33324026 http://dx.doi.org/10.1016/j.patrec.2020.10.004 |
Ejemplares similares
-
AI-PLAX: AI-based placental assessment and examination using photos
por: Chen, Yukun, et al.
Publicado: (2020) -
Bodily expressed emotion understanding through integrating Laban movement analysis
por: Wu, Chenyan, et al.
Publicado: (2023) -
Maternal-Fetal Inflammation in the Placenta and the Developmental Origins of Health and Disease
por: Goldstein, Jeffery A., et al.
Publicado: (2020) -
Automated 3D segmentation of guard cells enables volumetric analysis of stomatal biomechanics
por: Davaasuren, Dolzodmaa, et al.
Publicado: (2022) -
Multi-centre deep learning for placenta segmentation in obstetric ultrasound with multi-observer and cross-country generalization
por: Andreasen, Lisbeth Anita, et al.
Publicado: (2023)