If you have low amniotic fluid and youre 36 to 37 weeks pregnant, the.
The proposed method achieved a Dice similarity of 0.877 ± 0.086 for AF segmentation and achieved a mean absolute error of 2.666 ± 2.986 and mean relative error of 0.018 ± 0.023 for AFI value. Certain health conditions in the baby, such as restricted growth or a genetic disorder. The experimental results demonstrate that the proposed method provides a measurement of the amniotic fluid index (AFI) that is as robust and precise as the results from clinicians. Find Amniotic fluid stock images in HD and millions of other royalty-free stock photos, illustrations and vectors in the Shutterstock collection. AF-net is a variation of U-net combined with three complementary concepts - atrous convolution, multi-scale side-input layer, and side-output layer. The key step is the segmentation of the AF pocket using our proposed deep learning network, AF-net. To overcome the abovementioned difficulties, we develop a hierarchical deep-learning-based method, which consider clinicians’ anatomical-knowledge-based approaches. Furthermore, AF pocket exhibits an unspecified variety of shapes and sizes, and ultrasound images often show missing or incomplete structural boundaries. However, automating AFV measurement is very challenging, because accurate detection of AF pockets is difficult owing to various confusing factors, such as reverberation artifact, AF mimicking region and floating matter.
In this regard, automation is expected to reduce user-based variability and workload of sonographers. Therefore, the development of accurate, robust, and adoptable methods to evaluate AFV is highly desirable. Moreover, it is heavily sonographer-dependent, with measurement accuracy varying greatly depending on the sonographer’s experience. However, AFV measurement is cumbersome and patient specific. Dive into the research topics of Automatic fetal body and amniotic fluid segmentation from fetal ultrasound images by encoder-decoder network with inner layers. The estimation of antenatal amniotic fluid (AF) volume (AFV) is important as it offers crucial information about fetal development, fetal well-being, and perinatal prognosis.
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