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Improve the speed and accuracy of detecting and localizing brain tumors based on MRI scans.

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Healthcare-AI

  • Deep learning has been proven to be superior in detecting diseases from X-rays, MRI scans and CT scans which could significantly improve the speed and accuracy of diagnosis.
  • Artificial Intelligence is revolutionizing Healthcare in many areas such as: Disease Diagnosis with medical imaging, Surgical Robots, Maximizing Hospital Efficiency
  • In this case study, we will assume that you work as an AI/ML consultant and you have been hired by a medical diagnosis company in NYC.
  • You have been tasked to improve the speed and accuracy of detecting and localizing brain tumors based on MRI scans.
  • This would drastically reduce the cost of cancer diagnosis & help in early diagnosis of tumors which would essentially be a life saver.
  • The team has collected brain MRI scans and have approached you to develop a model that could detect and localize tumors.
  • You have been provided with 3929 Brain MRI scans along with their brain tumour location.

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Improve the speed and accuracy of detecting and localizing brain tumors based on MRI scans.

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