Artificial intelligence techniques for embryo and oocyte classification.
about
Cytoplasmic movement profiles of mouse surrounding nucleolus and not-surrounding nucleolus antral oocytes during meiotic resumption.Automatic blastomere recognition from a single embryo imageAssessment of human embryo development using morphological criteria in an era of time-lapse, algorithms and 'OMICS': is looking good still important?Gray level Co-occurrence Matrices (GLCM) to assess microstructural and textural changes in pre-implantation embryos.A Method Based on Artificial Intelligence To Fully Automatize The Evaluation of Bovine Blastocyst Images.Are computational applications the "crystal ball" in the IVF laboratory? The evolution from mathematics to artificial intelligence
P2860
Artificial intelligence techniques for embryo and oocyte classification.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年学术文章
@wuu
2012年学术文章
@zh
2012年学术文章
@zh-cn
2012年学术文章
@zh-hans
2012年学术文章
@zh-my
2012年学术文章
@zh-sg
2012年學術文章
@yue
2012年學術文章
@zh-hant
name
Artificial intelligence techniques for embryo and oocyte classification.
@en
Artificial intelligence techniques for embryo and oocyte classification.
@nl
type
label
Artificial intelligence techniques for embryo and oocyte classification.
@en
Artificial intelligence techniques for embryo and oocyte classification.
@nl
prefLabel
Artificial intelligence techniques for embryo and oocyte classification.
@en
Artificial intelligence techniques for embryo and oocyte classification.
@nl
P1476
Artificial intelligence techniques for embryo and oocyte classification.
@en
P2093
Loris Nanni
Sebastiana Pappalardo
P356
10.1016/J.RBMO.2012.09.015
P577
2012-10-02T00:00:00Z