Deep transfer learning application for automated ischemic classification in posterior fossa CT images

• Main Authors: Muhd Suberi, Anis Azwani, Wan Zakaria, Wan Nurshazwani, Tomari, Razali, Nazari, Ain, Mohd, Mohd Norzali, Nik Fuad, Nik Farhan
• Format: Article
• Language: English
• Published: 2019
• Subjects: RC Internal medicine
• Online Access: http://eprints.uthm.edu.my/583/1/DNJ8706_8e95d3c51d24b760f8a211a43868d3de.pdf; http://eprints.uthm.edu.my/583/; https://doi.org/10.14569/IJACSA.2019.0100859

Abstract—Computed Tomography (CT) imaging is one of the conventional tools used to diagnose ischemic in Posterior Fossa (PF). Radiologist commonly diagnoses ischemic in PF through CT imaging manually. However, such a procedure could be strenuous and time consuming for large scale images, depending o...