Cargando…
Automatic segmentation of ovarian follicles using deep neural network combined with edge information
Medical ultrasound imaging plays an important role in computer-aided diagnosis systems. In many cases, it is the preferred method of doctors for diagnosing diseases. Combined with computer vision technology, segmentation of ovarian ultrasound images can help doctors accurately judge diseases, reduce...
Autores principales: | Chen, Zhong, Zhang, Changheng, Li, Zhou, Yang, Jinkun, Deng, He |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9580824/ https://www.ncbi.nlm.nih.gov/pubmed/36303627 http://dx.doi.org/10.3389/frph.2022.877216 |
Ejemplares similares
-
Characterization of ovarian follicles, serum steroid hormone concentration, and steroidogenic gene expression profiles in the developing ovarian follicles in White King pigeons
por: Wang, Y., et al.
Publicado: (2023) -
Effect of anti-müllerian hormone on the development and selection of ovarian follicle in hens
por: Huang, S.J., et al.
Publicado: (2020) -
Effects of capsaicin on laying performance, follicle development, and ovarian antioxidant capacity in aged laying ducks
por: Liu, J.G., et al.
Publicado: (2020) -
OR19-04 Hypoglycosylated FSH Enhances Ovarian Follicle Development and Gamete Quality
por: Converse, Aubrey, et al.
Publicado: (2023) -
Effect of dietary N-carbamylglutamate on development of ovarian follicles via enhanced angiogenesis in the chicken
por: Ma, Yanfen, et al.
Publicado: (2019)