Cargando…
Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction
Methods for automatic analysis of clinical data are usually targeted towards a specific modality and do not make use of all relevant data available. In the field of male human reproduction, clinical and biological data are not used to its fullest potential. Manual evaluation of a semen sample using...
Autores principales: | Hicks, Steven A., Andersen, Jorunn M., Witczak, Oliwia, Thambawita, Vajira, Halvorsen, Pål, Hammer, Hugo L., Haugen, Trine B., Riegler, Michael A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6856178/ https://www.ncbi.nlm.nih.gov/pubmed/31727961 http://dx.doi.org/10.1038/s41598-019-53217-y |
Ejemplares similares
-
VISEM-Tracking, a human spermatozoa tracking dataset
por: Thambawita, Vajira, et al.
Publicado: (2023) -
Sperm motility assessed by deep convolutional neural networks into WHO categories
por: Haugen, Trine B., et al.
Publicado: (2023) -
GridHTM: Grid-Based Hierarchical Temporal Memory for Anomaly Detection in Videos
por: Monakhov, Vladimir, et al.
Publicado: (2023) -
Levels of L-carnitine in human seminal plasma are associated with sperm fatty acid composition
por: Iliceto, Mario, et al.
Publicado: (2022) -
Impact of Image Resolution on Deep Learning Performance in Endoscopy Image Classification: An Experimental Study Using a Large Dataset of Endoscopic Images
por: Thambawita, Vajira, et al.
Publicado: (2021)