首页|University of Craiova Researcher Provides Details of New Studies and Findings in the Area of Artificial Intelligence (Autonomous fetal morphology scan: deep learning + clustering merger - the second pair of eyes behind the doctor)
University of Craiova Researcher Provides Details of New Studies and Findings in the Area of Artificial Intelligence (Autonomous fetal morphology scan: deep learning + clustering merger - the second pair of eyes behind the doctor)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on artificial intell igence are discussed in a new report. According tonews reporting from the Unive rsity of Craiova by NewsRx journalists, research stated, “The main cause offeta l death, of infant morbidity or mortality during childhood years is attributed t o congenital anomalies.They can be detected through a fetal morphology scan.”Financial supporters for this research include Ministerul Cercetarii, Inovarii S i Digitalizarii.Our news correspondents obtained a quote from the research from University of Cr aiova: “An experiencedsonographer (with more than 2000 performed scans) has the detection rate of congenital anomaliesaround 52%. The rates go do wn in the case of a junior sonographer, that has the detection rate of 32.5% . One viable solution to improve these performances is to use Artificial Intelli gence. The first step in afetal morphology scan is represented by the different iation process between the view planes of the fetus,followed by a segmentation of the internal organs in each view plane. This study presents an Artificial Intelligence empowered decision support system that can label anatomical organs usi ng a merger betweendeep learning and clustering techniques, followed by an orga n segmentation with YOLO8. Our frameworkwas tested on a fetal morphology image dataset that regards the fetal abdomen. The experimental resultsshow that the s ystem can correctly label the view plane and the corresponding organs on real-timeultrasound movies.”
University of CraiovaArtificial IntelligenceEmerging TechnologiesMachine Learning
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