In order to improve the diagnosis accuracy and to reduce the diagnosis time, it has become a demanding issue to develop an efficient and reliable medical Decision Support System. Hence machine learning approaches such as neural networks have shown great potential to be applied in the development of medical Decision Support System for Fetal Anomalies. Expertise are not available geographically and may cause delay in analysing the anomaly.
Detection of anomalies using Fetus
Recognizing Fetal Defects at early stage and right time is a difficult task for Physicians due to lack of subject specialists or inexperience with the previous cases.
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