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Developing a diagnostic model to detect intracranial aneurysms with subarachnoid hemorrhage

Student name:

Wanqi Wang (PhD candidate)

Supervisors:

  1. Dr Lois Balmer
  2. Professor Wei Wang
  3. Professor Weiqiang Chen

Summary of thesis:

Ruptured intracranial aneurysms (IAs) with subarachnoid hemorrhage has high rates of modality and disability.  For now, the diagnosis of IAs in the less developed area mainly relies on neurological examination and neuroimaging. Physical examination performed by a less experienced examiner can result in diagnoses with lower accuracy and reliability. Moreover, the reported prediction model for IAs diagnosis mostly relied on the conventional statistical models. This project aims to develop a neural network segmentation model capable of generating precise diagnoses of intracranial aneurysms on head computed tomographic angiography (CTA) imaging.

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