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Trimester Wise Growth Prediction of an Embryo from Ultrasound Images
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| Author:
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B.J. NAIR, V. ROHITH, N. ASWIN NAMBIAR
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| Abstract:
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In this study we propose a system that uses image processing techniques to predict the growth rate, fetal head
recognition and head length from fetal image. In the processing of images, we use various methods to improve
the image by pre-processing and to try to extract other features from the image. Pre-processing,
segmentation, and extraction of features are the three general steps that all types of data will undergo while
using the technique. This work focuses primarily on developing a system for predicting whether fetal growth is
normal or abnormal and extracting features such as fetal duration and BPD (Biparieatal Diameter). We are
doing the research trimester-wise processing of ultrasound images from various pregnant ladies in our
proposed job. Using wiener filter, the ultrasound images are smoothed and the image is segmented by border
cleaning thresholding, and morphological operations.
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| Keyword:
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Wiener Filter, Thresholding, Border Cleaning, Morphological Operations.
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| EOI:
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-
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| DOI:
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https://doi.org/10.31838/ijpr/2020.12.02.0127
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| Download:
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Request For Article
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