- An interpretable and versatile machine learning approach for oocyte ...🔍
- Segmentation of mature human oocytes provides interpretable and ...🔍
- Oocyte phenotyping using our machine learning pipeline.🔍
- A robust deep learning|based multiclass segmentation method for ...🔍
- Segmentation of membrane of mouse🔍
- Looking with new eyes🔍
- gletort/Oocytor🔍
- Oocyte Mechanics and Morphogenesis🔍
An interpretable and versatile machine learning approach for oocyte ...
An interpretable and versatile machine learning approach for oocyte ...
We present a feature-based machine learning pipeline to recognize oocyte populations and determine morphological differences between them. We ...
An interpretable and versatile machine learning approach for oocyte ...
We showed that this machine learning approach can be used to discriminate oocyte populations and automatically identify morphological differences coming from a ...
An interpretable and versatile machine learning approach for oocyte ...
Its first application is a novel approach to screen oocyte strains and automatically identify their morphological characteristics. We ...
An interpretable and versatile machine learning approach for oocyte ...
Meiotic maturation is a crucial step of oocyte formation allowing its potential fertilization and embryo development. Elucidating this process is.
An interpretable and versatile machine learning approach for oocyte ...
Therefore, we chose a versatile approach to implement a segmentation tool robust to the diversity of oocyte types and modes of acquisition (mouse oocytes coming ...
An interpretable and versatile machine learning approach for oocyte ...
AbstractMeiotic maturation is a crucial step of oocyte development allowing its potential fertilization and embryo development. Elucidating this process is ...
(PDF) An interpretable and versatile machine learning approach for ...
(DOI: 10.1101/2022.02.01.478709) Meiotic maturation is a crucial step of oocyte development allowing its potential fertilization and embryo development.
Segmentation of mature human oocytes provides interpretable and ...
An interpretable and versatile machine learning approach for oocyte phenotyping. ... method for analyzing human metaphase II oocyte images ...
Oocyte phenotyping using our machine learning pipeline.
from publication: An interpretable and versatile machine learning approach for oocyte ... An interpretable and versatile machine learning approach for oocyte ...
A robust deep learning-based multiclass segmentation method for ...
The morphology of the human metaphase II (MII) oocyte is an essential indicator of the embryo's potential for developing into a healthy baby in the Intra- ...
Segmentation of membrane of mouse, sea urchin and human ... - BIII
This dataset was compiled for the article: "An interpretable and versatile machine learning approach for oocyte phenotyping", Journal of ...
Segmentation of mature human oocytes provides interpretable and ...
An interpretable and versatile machine learning approach for oocyte phenotyping. ... method for analyzing human metaphase II oocyte images. Comput. Methods ...
Looking with new eyes: advanced microscopy and artificial ... - NCBI
An interpretable and versatile machine learning approach for oocyte phenotyping. J Cell Sci. 2022;135. [PMC free article] [PubMed]. 31 ...
An interpretable and versatile machine learning approach for oocyte phenotyping. Gaelle Letort, Adrien Eichmuller, Christelle Da Silva, Elvira Nikalayevich ...
An interpretable and versatile machine learning approach for oocyte phenotyping. J Cell Sci jcs.260281. • Crozet F, Da Silva C, Verlhac MH*, Terret ME ...
Aberrant cortex contractions impact mammalian oocyte quality
36. Letort, G. ∙ Eichmuller, A. ∙ Da Silva, C. ... An interpretable and versatile machine learning approach for oocyte phenotyping. J. Cell Sci. 2022; 135 ...
Oocyte vitrification for fertility preservation is an evolving practice ...
43. Letort, G. ∙ Eichmuller, A. ∙ Da Silva, C. ... An interpretable and versatile machine learning approach for oocyte phenotyping. J Cell Sci. 2022; 135 ...
Artificial intelligence selection of viable oocytes from phase contrast ...
Keywords: artificial intelligence, oocytes, in vitro ... An interpretable and versatile machine learning approach for oocyte phenotyping.
Qualitative and quantitative structural changes during pig oocyte ...
An interpretable and versatile machine learning approach for oocyte phenotyping. · The Molecular Quality and Mitochondrial Activity of Porcine Cumulus-Oocyte ...
Exploring the maternal inheritance transmitted by the oocyte to its ...
Scheme of the end of oocyte growth, oocyte ... An interpretable and versatile machine learning approach for oocyte phenotyping, J.