Govind Raj R, Riya Cyriac, D. Pamela, P. Manimegalai, Prawin Angel Michael
{"title":"利用图像处理技术检测肾结石","authors":"Govind Raj R, Riya Cyriac, D. Pamela, P. Manimegalai, Prawin Angel Michael","doi":"10.1109/ICAECT54875.2022.9807961","DOIUrl":null,"url":null,"abstract":"The objective of this research is to evaluate several image analysis methodologies in order to improve the image segmentation methods. Kidney stones are a hard build-up of salt and minerals in the kidneys, primarily calcium and uric acid. Mostof the people with renal calculi are completely ignorant of their condition at first, and their organs degenerates gradually. It is vital to pinpoint the correct position of the renal calculi for surgical operations. The majority of ultrasound scans contains speckle noise which humans are unable to remove. As a result, we prefer to detect kidney stone in ultrasound using pixel integrations and median filters.","PeriodicalId":346658,"journal":{"name":"2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Renal Calculi Detection using Image Processing\",\"authors\":\"Govind Raj R, Riya Cyriac, D. Pamela, P. Manimegalai, Prawin Angel Michael\",\"doi\":\"10.1109/ICAECT54875.2022.9807961\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The objective of this research is to evaluate several image analysis methodologies in order to improve the image segmentation methods. Kidney stones are a hard build-up of salt and minerals in the kidneys, primarily calcium and uric acid. Mostof the people with renal calculi are completely ignorant of their condition at first, and their organs degenerates gradually. It is vital to pinpoint the correct position of the renal calculi for surgical operations. The majority of ultrasound scans contains speckle noise which humans are unable to remove. As a result, we prefer to detect kidney stone in ultrasound using pixel integrations and median filters.\",\"PeriodicalId\":346658,\"journal\":{\"name\":\"2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-04-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAECT54875.2022.9807961\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAECT54875.2022.9807961","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The objective of this research is to evaluate several image analysis methodologies in order to improve the image segmentation methods. Kidney stones are a hard build-up of salt and minerals in the kidneys, primarily calcium and uric acid. Mostof the people with renal calculi are completely ignorant of their condition at first, and their organs degenerates gradually. It is vital to pinpoint the correct position of the renal calculi for surgical operations. The majority of ultrasound scans contains speckle noise which humans are unable to remove. As a result, we prefer to detect kidney stone in ultrasound using pixel integrations and median filters.