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.
Inter-laboratory agreement on embryo classification and clinical decision: conventional morphological assessment vs
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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.