Using a novel algorithm in ultrasound images to detect renal stones

• Main Authors: Sania Eskandari, Saeed Meshgini, Ali Farzamnia
• Format: Proceedings
• Language: English
• Published: Elsevier B.V 2021
• Subjects: QA76.75-76.765 Computer software; QM1-695 Human anatomy
• Online Access: https://eprints.ums.edu.my/id/eprint/32689/1/Using%20a%20novel%20algorithm%20in%20ultrasound%20images%20to%20detect%20renal%20stones.ABSTRACT.pdf; https://eprints.ums.edu.my/id/eprint/32689/; https://link.springer.com/chapter/10.1007/978-981-16-2406-3_58
• Institution: Universiti Malaysia Sabah

Medical ultrasound is utilized as the primary method for the detection of kidney stones. Ultrasound imaging is often more popular than other imaging techniques because it is portable, low-cost, non-invasive, and does not utilize ionizing radiations. In this paper, three essential segmentation algori...