Article

Automated Embryo Selection Using Deep Learning: A Comparative Study of 3D-CNN, Hybrid, and Transfer Learning Models

2025-09-04

Abstract excerpt

<title>Abstract</title> <p>Background The crucial process of choosing viable embryos for in vitro fertilization (IVF) has always depended on the subjective evaluation of embryologists. Automating this process using deep learning may improve pregnancy outcomes and make the evaluation more reliable. Methods A 3D Convolutional Neural Network (3D-CNN), CNN + LSTM hybrid model, and TimeDistributed CNN + GRU were among...

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Literature Corpus work: 5d9637d9-ad02-582f-b6ff-bda90554090d
DOI: 10.21203/rs.3.rs-6881820/v1

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