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The incidence of brain tumors makes up 2% of cancers in India and ranges from 5 to 10 per 100,000 people, with an increasing tendency. Tumors are enlarged masses in specific body parts brought on by aberrant cell development. Brain tumors result from brain tumor incidence. Tumors are classified as cancer and non-cancer tumors. Malignant tumors are malignant growths that impact other cells and grow uncontrollably. Because benign tumors are not cancerous, they pose less concern because they will not spread to neighboring tissues. One of the dangerous malignancies that can affect a patient's mental health and have a prolonged course is brain tumors. The author aims to develop a framework that will help in the early detection of brain tumors and the diagnosis of those tumors through MRI scans. Framework uses convolution neural networks (CNN) algorithm for image segmentation and helps to segregate cancer using different predictive model techniques. The model scans the MRI images and predicts the chances of growth and severity.

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AI-Based Segmentation Model to Detect Brain Tumor

  • 会议论文

  • 发表日期：

    2025年

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  • Vaishali Khairnar,
  • Prasad Kashid,
  • Karan Patil,
  • Harshvardhan Desai,
  • Prajwal Kore,
  • Deepali Vora

摘要

The incidence of brain tumors makes up 2% of cancers in India and ranges from 5 to 10 per 100,000 people, with an increasing tendency. Tumors are enlarged masses in specific body parts brought on by aberrant cell development. Brain tumors result from brain tumor incidence. Tumors are classified as cancer and non-cancer tumors. Malignant tumors are malignant growths that impact other cells and grow uncontrollably. Because benign tumors are not cancerous, they pose less concern because they will not spread to neighboring tissues. One of the dangerous malignancies that can affect a patient's mental health and have a prolonged course is brain tumors. The author aims to develop a framework that will help in the early detection of brain tumors and the diagnosis of those tumors through MRI scans. Framework uses convolution neural networks (CNN) algorithm for image segmentation and helps to segregate cancer using different predictive model techniques. The model scans the MRI images and predicts the chances of growth and severity.