Abstract: In recent years there has been growing interest in use of machine learning classifiers for 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 be implemented. To identify exact presence of soft tissue tumor, the proposed system classifies if there are soft tissue tumor or not using machine learning algorithm. The system will help in effective diagnosis of Soft tissue tumor using machine learning algorithm.
Keywords: Convolutional Neural Network,Machine Learning,Preprocessing, Soft Tissue Tumor,Unet
| DOI: 10.17148/IJARCCE.2022.11592