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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | A NOVEL METHOD FOR PREDICTING KIDNEY STONE TYPE USING SUPPORT VECTOR MACHINE |
| Authors Name: | Saroj , Vijay Pal Singh |
| Unique Id: | IJSDR2305328 |
| Published In: | Volume 8 Issue 5, May-2023 |
| Abstract: | Ultrasound imaging is a non-destructive technique widely used to visualize internal body structures like kidneys, muscles, vessels, joints, and other internal organs of living beings. Kidney ultrasound imaging can determine kidney size, position and help diagnose structural abnormalities like presence of stone, cyst, and other infections. Early detection of the presence of stone is beneficial in therapeutic treatment and also better survival rate. Apart from surgical removal of stones, ultrasound and laser lithotripsy are the common options followed by the medical fraternity. This work introduces a unique approach for removing speckle noise in US images to improve the readability of ultrasound images and enhance the quality of images for better diagnosis by radiologists. In this work, different preprocessing methods like spatial and wavelet domain filtering are applied to both normal and abnormal kidney stone US images. The accuracy is achieved up to 97.86 %. |
| Keywords: | Kidney Stone, Ultrasound Images, Accuracy |
| Cite Article: | "A NOVEL METHOD FOR PREDICTING KIDNEY STONE TYPE USING SUPPORT VECTOR MACHINE", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 5, page no.2072 - 2082, May-2023, Available :http://www.ijsdr.org/papers/IJSDR2305328.pdf |
| Downloads: | 000337067 |
| Publication Details: | Published Paper ID: IJSDR2305328 Registration ID:206923 Published In: Volume 8 Issue 5, May-2023 DOI (Digital Object Identifier): Page No: 2072 - 2082 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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