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One’s life is very much precious, and brain tumors are a critical concern to the life of a person. If they are not identified on time, they can take life of an individual. So, it becomes important to identify them as soon as possible. If the tumors are identified on time, it can be a point of difference to an individual’s life and death and if identified on time, we can treat them on time. To get a much clearer pictures of tumors, we will be operating on a dataset containing MRI images of human brain. This dataset comprises of tumor and non-tumor MRI pictures, acknowledging a broad evaluation of brain anomalies. The model that is being used here is Visual Geometry Group (VGG-16). If the model finds a tumor, it becomes important to classify it. After doing testing, brain tumors are classified into three distinct types: glioma, meningioma, and pituitary tumors. The different classes of tumors are valuable in making treatment plans to ensemble need of every patient.

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Classification and Detection of Brain Tumor Images Using Deep Learning

  • 会议论文

  • 发表日期：

    2025年

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  • Arnav Srivastava,
  • Deeksha Gupta,
  • Archit Shukla,
  • Swati Tomar,
  • Yogendra Narayan Prajapati

摘要

One’s life is very much precious, and brain tumors are a critical concern to the life of a person. If they are not identified on time, they can take life of an individual. So, it becomes important to identify them as soon as possible. If the tumors are identified on time, it can be a point of difference to an individual’s life and death and if identified on time, we can treat them on time. To get a much clearer pictures of tumors, we will be operating on a dataset containing MRI images of human brain. This dataset comprises of tumor and non-tumor MRI pictures, acknowledging a broad evaluation of brain anomalies. The model that is being used here is Visual Geometry Group (VGG-16). If the model finds a tumor, it becomes important to classify it. After doing testing, brain tumors are classified into three distinct types: glioma, meningioma, and pituitary tumors. The different classes of tumors are valuable in making treatment plans to ensemble need of every patient.