智能脑肿瘤预测系统

Vishwas Kalunge, Ashish Gaddhane, Ansari Abutalha, Aakash Pawar, Ibrahimkhan Pathan, Jayesh Bhalsing
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引用次数: 0

摘要

大脑是人体的调节单元。它控制着记忆、视觉、听觉、知识、个性、解决问题等功能。脑肿瘤发生的主要原因是脑细胞的废弃进程。许多卫生组织已经认识到脑肿瘤是导致全世界许多人死亡的第二大争议。在早期阶段识别脑肿瘤为有效的医学治疗提供了机会。与计算机断层扫描图像相比,磁共振成像图像的使用被认为是更详细和更一致的图像。在这个项目中,我们使用机器学习算法来预测脑肿瘤。有各种各样的技术来检测脑肿瘤或肿瘤。我们将在这个项目中使用的最有效的算法是CNN(卷积神经网络)。它是一种用于图像处理的深度学习算法,从预处理大脑图像开始,分割图像,提取不需要的噪声和模糊部分的特征,聚类和肿瘤检测是我们项目的方法。关键词:脑肿瘤预测,MRI图像,CNN,图像处理,深度学习
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart Brain Tumor Prediction System
Brain is the regulatory unit in human body. It controls the functions such as memory, vision, hearing, knowledge, personality, problem solving, etc. The main reason for brain tumor is the abandoned progress of brain cells. Many health organizations have recognized brain tumor as the second foremost dispute that causes many human deaths all around the world. Identification of brain tumor at a premature stage offers opportunity of effective medical treatment. Use of Magnetic Resonance Imaging images have been recognized as more detailed and more consistent images when compared to Computed Tomography images. In this project we are predicting the brain tumor using machine learning algorithms. there are various techniques to detect brain tumor or neoplasms. The most competent and effective algorithm that we will be using in this project is CNN (Convolutional Neural Network).It is a Deep Learning Algorithm that is Used for Image Processing Starting with Pre-processing brain images then, segmenting them, feature extraction of unwanted noisy and blurry part, clustering and detection of the tumor are the methodologies of our Project. Key Word: Brain Tumor Prediction, MRI Images, CNN, Image Processing and Deep Learning.
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