Enhanced Kidney Stone Detections Using Digital Image Processing Techniques
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-2271-0_49
Reference25 articles.
1. Akkasaligar PT, Biradar S, Kumbar V (2017) Kidney stone detection in computed tomography images. In: 2017 International conference on smart technologies for smart nation (SmartTechCon). IEEE, pp 353–356
2. Ranjitha M (2019) Segmentation of ultrasound abdominal images to extract region of interest. Int J Recent Technol Eng. https://doi.org/10.35940/ijrte.b2469.078219
3. Karthick N, Kumar PV (2019) A review on brain tumour detection using magnetic resonance imaging. Int J Res Appl Sci Eng Technol (IJRASET). https://doi.org/10.22214/ijraset.2019.10020
4. Rahman T, Uddin MS (2013) Speckle noise reduction and segmentation of kidney regions from ultrasound image. In: 2013 International conference on informatics, electronics and vision (ICIEV). IEEE, pp 1–5
5. Hosseini Z, Bibalan MH (2018) Speckle noise reduction of ultrasound images based on neighbor pixels averaging. In: 2018 25th National and 3rd international Iranian conference on biomedical engineering (ICBME). IEEE
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