{"title":"基于深度学习方法的MRI骨癌检测与分期图像分类","authors":"E. Lingappa, L. Parvathy","doi":"10.1109/ICNWC57852.2023.10127368","DOIUrl":null,"url":null,"abstract":"Mutations in cancer-causing genes can be passed down from parents to offspring. or because of DNA dam age from unprotected exposures to the elements. Cancer, which is brought on by unchecked cell development, can be lethal. Bone cancer begins when normally functioning bone cells undergo a malignant transformation and proliferate out of control, resulting in a tumour. When it comes to cancers of the bones, the incidence and severity rank high. To treat bone cancer effectively, early diagnosis and staging are essential. This study utilized CT and MRI with a Convolutional Neural Network to detect bone malignancy. The accuracy of the suggested technique was evaluated using 100 bone MRIs from patients who had already been validated. In this analysis, CNNs are utilised to determine if a bone tumour is benign or malignant. Classifying bone cancer using the proposed method is highly accurate (93.75 percent).","PeriodicalId":197525,"journal":{"name":"2023 International Conference on Networking and Communications (ICNWC)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Image Classification with Deep Learning Methods for Detecting and Staging Bone Cancer from MRI\",\"authors\":\"E. Lingappa, L. Parvathy\",\"doi\":\"10.1109/ICNWC57852.2023.10127368\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Mutations in cancer-causing genes can be passed down from parents to offspring. or because of DNA dam age from unprotected exposures to the elements. Cancer, which is brought on by unchecked cell development, can be lethal. Bone cancer begins when normally functioning bone cells undergo a malignant transformation and proliferate out of control, resulting in a tumour. When it comes to cancers of the bones, the incidence and severity rank high. To treat bone cancer effectively, early diagnosis and staging are essential. This study utilized CT and MRI with a Convolutional Neural Network to detect bone malignancy. The accuracy of the suggested technique was evaluated using 100 bone MRIs from patients who had already been validated. In this analysis, CNNs are utilised to determine if a bone tumour is benign or malignant. Classifying bone cancer using the proposed method is highly accurate (93.75 percent).\",\"PeriodicalId\":197525,\"journal\":{\"name\":\"2023 International Conference on Networking and Communications (ICNWC)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-04-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 International Conference on Networking and Communications (ICNWC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNWC57852.2023.10127368\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Networking and Communications (ICNWC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNWC57852.2023.10127368","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Image Classification with Deep Learning Methods for Detecting and Staging Bone Cancer from MRI
Mutations in cancer-causing genes can be passed down from parents to offspring. or because of DNA dam age from unprotected exposures to the elements. Cancer, which is brought on by unchecked cell development, can be lethal. Bone cancer begins when normally functioning bone cells undergo a malignant transformation and proliferate out of control, resulting in a tumour. When it comes to cancers of the bones, the incidence and severity rank high. To treat bone cancer effectively, early diagnosis and staging are essential. This study utilized CT and MRI with a Convolutional Neural Network to detect bone malignancy. The accuracy of the suggested technique was evaluated using 100 bone MRIs from patients who had already been validated. In this analysis, CNNs are utilised to determine if a bone tumour is benign or malignant. Classifying bone cancer using the proposed method is highly accurate (93.75 percent).