Classification and Segmentation of Brain Tumor Using EfficientNet-B7 and U-Net

  • Adinegoro A
  • Sutapa G
  • Gunawan A
  • et al.
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Abstract

Tumors are caused by uncontrolled growth of abnormal cells. Magnetic Resonance Imaging (MRI) is modality that is widely used to produce highly detailed brain images. In addition, a surgical biopsy of the suspected tissue (tumor) is required to obtain more information about the type of tumor. Biopsy takes 10 to 15 days for laboratory testing. Based on a study conducted by Brady in 2016, errors in radiology practice are common, with an estimated daily error rate of 3-5%. Therefore, using the application of artificial intelligence, is expected to simplify and improve the accuracy of doctor's diagnose.

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APA

Adinegoro, A. F., Sutapa, G. N., Gunawan, A. A. N., Anggarani, N. K. N., Suardana, P., & Kasmawan, I. G. A. (2023). Classification and Segmentation of Brain Tumor Using EfficientNet-B7 and U-Net. Asian Journal of Research in Computer Science, 15(3), 1–9. https://doi.org/10.9734/ajrcos/2023/v15i3320

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