Abstract
Elimination of the gallstones is gaining popularity due to significant increase in the count of the people suffering from Cholelithiasis. Cholelithiasis is one of the most reported diseases in India. This paper presents a comparative study of various approaches of gallstones detection and further analyzing the ultrasound images of the patients suffering from Cholelithiasis. Our research mainly focuses on examining the fissures in the identification of the shapes of the Gall Bladder stones automatically by applying various techniques such as image processing, segmentation, and a combination of other preprocessing morphological techniques to scrutinize gallstones with a motive of aiding medical science with more competent techniques for the proficient, effortless and cost-effective removal of gallstones.
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Garg, S., Walia, A., Singh, A., Mishra, A. (2018). A Study on Shape Detection: An Unexplored Parameter in the Gallstones Identification. In: Somani, A., Srivastava, S., Mundra, A., Rawat, S. (eds) Proceedings of First International Conference on Smart System, Innovations and Computing. Smart Innovation, Systems and Technologies, vol 79. Springer, Singapore. https://doi.org/10.1007/978-981-10-5828-8_42
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