Bayesian classification for the selection of in vitro human embryos using morphological and clinical data.
about
A review on automatic analysis of human embryo microscope images.Automatic blastomere recognition from a single embryo imageEstimating the chance of success in IVF treatment using a ranking algorithm.Modeling to optimize terminal stem cell differentiationSemiautomated analysis of embryoscope images: Using localized variance of image intensity to detect embryo developmental stages.Predictive Modeling of Implantation Outcome in an In Vitro Fertilization Setting: An Application of Machine Learning Methods.Are computational applications the "crystal ball" in the IVF laboratory? The evolution from mathematics to artificial intelligenceBehavior patterns in hormonal treatments using fuzzy logic modelsROC Based Evaluation and Comparison of Classifiers for IVF Implantation Prediction
P2860
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P2860
Bayesian classification for the selection of in vitro human embryos using morphological and clinical data.
description
2008 nî lūn-bûn
@nan
2008 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
Bayesian classification for th ...... rphological and clinical data.
@ast
Bayesian classification for th ...... rphological and clinical data.
@en
type
label
Bayesian classification for th ...... rphological and clinical data.
@ast
Bayesian classification for th ...... rphological and clinical data.
@en
prefLabel
Bayesian classification for th ...... rphological and clinical data.
@ast
Bayesian classification for th ...... rphological and clinical data.
@en
P2093
P1476
Bayesian classification for th ...... rphological and clinical data.
@en
P2093
Dinora Araceli Morales
Endika Bengoetxea
Marisa Merino
Miguel García
Mónica Fresnada
Yosu Franco
P304
P356
10.1016/J.CMPB.2007.11.018
P577
2008-01-10T00:00:00Z