Abstract
The unnatural growth present in the uterus wall is uterus fibroids. Presence of fibroid in uterus leads to infertility. Ultrasound images are a significant tool to detect uterus disorders. Fibroid extraction from ultrasound scanned images is indeed a challenging task considering its size, less detectible boundaries and positions. Segmentation of ultrasound images is not an easy task because of speckle noise. This paper endows a method to segment uterus fibroid from ultrasound scanned images. This method utilizes many mathematical morphology concepts to detect fibroid region. The method segmented the fibroid and extracts some shape-based features.
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Dilna, K.T., Jude Hemanth, D. (2020). Fibroid Detection in Ultrasound Uterus Images Using Image Processing. In: Khanna, A., Gupta, D., Bhattacharyya, S., Snasel, V., Platos, J., Hassanien, A. (eds) International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, vol 1087. Springer, Singapore. https://doi.org/10.1007/978-981-15-1286-5_15
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DOI: https://doi.org/10.1007/978-981-15-1286-5_15
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