Automatic Segmentation on Glioblastoma Brain Tumor Magnetic Resonance Imaging Using Modified U-Net

Automatic Segmentation on Glioblastoma Brain Tumor Magnetic Resonance Imaging Using Modified U-Net

Glioblastoma is listed as a malignant brain tumor. Due to its heterogeneous composition in one area of the tumor, the area of tumor is difficult to segment from healthy tissue. On the other side,  the segmentation of brain tumor MRI imaging is also erroneous and takes time because of the large MRI...

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Bibliographic Details
Main Authors: Hapsari Peni Agustin Tjahyaningtijas, Andi Kurniawan Nugroho, Cucun Very Angkoso, I Ketut Edy Purnama, Mauridhi Hery Purnomo
Format: Article
Language:English
Published: Politeknik Elektronika Negeri Surabaya 2020-06-01
Series:Emitter: International Journal of Engineering Technology
Subjects:
Brain tumor segmentation
fully convolutional network
U-Net
drop-out
dice score
Online Access:https://emitter.pens.ac.id/index.php/emitter/article/view/505

Internet

https://emitter.pens.ac.id/index.php/emitter/article/view/505

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