A CNN-LSTM with LIME reportedly reaches 97.7% accuracy in classifying IVF embryo images, but the tiny dataset and inconsistent metrics make the claim unreliable.
STORK: Spatio-Temporal non-uniformity prediction for knowledge graph embedding.https://github.com/ih-lab/ STORK, 2019
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Interpretation of Deep Learning Model in Embryo Selection for In Vitro Fertilization (IVF) Treatment
A CNN-LSTM with LIME reportedly reaches 97.7% accuracy in classifying IVF embryo images, but the tiny dataset and inconsistent metrics make the claim unreliable.