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Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/3412
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dc.contributor.authorDhage, Rambhau-
dc.contributor.authorDusane, Tejas S-
dc.contributor.authorPatil, Chetan-
dc.contributor.authorRathod, Sayali-
dc.date.accessioned2022-08-19T04:45:23Z-
dc.date.available2022-08-19T04:45:23Z-
dc.date.issued2022-05-16-
dc.identifier.urihttp://192.168.3.232:8080/jspui/handle/123456789/3412-
dc.description.abstractIn recent years there has been growing interest in use of machine learning classifiersfor analyzing MRI data. There are number of soft tissues present in human body. These soft tissue tumors are like sarcoma that connects, supports and encircles the body. Minor injury to it can cause tumor called soft tissue tumor. MRI of such soft tissue looks like as other diseases like fibroadenoma mammae, lymphadenopathy, struma nodosa. These errors could have an adverse effects on the patient’s medical processes. Existing system are not fully able to differentiate the tumors and may lead to misdiagnosis. To get the accurate diagnosis of soft tissues an automatic technique to segment brain tissues from volumetric MRI brain tumor pictures can beimplemented. To identify exact presence of soft tissue tumor, the proposed system classifies if there are soft tissue tumor or not using machine learning algorithm. Thesystem will help in effective diagnosis of Soft tissue tumor using machine learning algorithmen_US
dc.subjectConvolutional Neural Networken_US
dc.subjectMachine Learningen_US
dc.subjectPreprocessingen_US
dc.subjectSoft Tissue Tumoren_US
dc.subjectUneten_US
dc.titleDetection of Soft Tissue Tumor using Machine Learningen_US
dc.typeArticleen_US
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