Abstract:Embryo assessment and selection are usually based on the visual morphological analysis by expert embryologists. Although the embryologist assessment has been routinely used in clinical practice, it is highly dependent on the embryologist's experience and is very time‐consuming. Therefore, objective and efficient methods for automated embryo evaluation are in high demand. We proposed a framework of cascaded networks to hierarchically extract and integrate the microscopic image features for embryo classification… Show more
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