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Time Series Prediction of Viable Embryo and Automatic Grading in IVF using LSTM

(01/2020 - 05/2020)
Automatic grading of embryo after blastocyst by time series analysis using CNN-LSTM neural network model. Data collected from Nova IVF Fertility Center, Ahmedabad.
Training accuracy: 100% ,
Testing accuracy: 99.9%
Technologies Used:
Python, Pre-Defined CNN (VGG-16, VGG19 etc), LSTM, GRU
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Research paper under review at The Open Biomedical Engineering Journal (TOBEJ)
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