TY - GEN
T1 - Modified 3D U-Net For Brain Tumor Segmentation
AU - Wicaksana W, M. Sadewa
AU - Purnama, I. Ketut Eddy
AU - Rachmadi, Reza Fuad
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Since the brain serves as the central command and control center for the human body, brain cancer is one of the most lethal tumors. The automatic segmentation of brain tumors from multimodal images is critical in diagnosis and therapy. The difficulty in identifying the location and position of the cancer due to the different image intensity ranges is one of the challenges in segmenting brain tumors. On the other hand, the previous research architecture U-Net has limitations in terms of gathering multiscale information and delineating complicated tumor borders precisely is hard to obtain. As a result, in this study, we use Modified U-Net with add several key enhancements to improve segmentation accuracy and capture fine-grained details. In this study, we use BRATS2020, and add more augmentations to improve our model.
AB - Since the brain serves as the central command and control center for the human body, brain cancer is one of the most lethal tumors. The automatic segmentation of brain tumors from multimodal images is critical in diagnosis and therapy. The difficulty in identifying the location and position of the cancer due to the different image intensity ranges is one of the challenges in segmenting brain tumors. On the other hand, the previous research architecture U-Net has limitations in terms of gathering multiscale information and delineating complicated tumor borders precisely is hard to obtain. As a result, in this study, we use Modified U-Net with add several key enhancements to improve segmentation accuracy and capture fine-grained details. In this study, we use BRATS2020, and add more augmentations to improve our model.
KW - Brain Tumor
KW - Segmentation
KW - Unet
UR - http://www.scopus.com/inward/record.url?scp=85180373939&partnerID=8YFLogxK
U2 - 10.1109/ICTS58770.2023.10330867
DO - 10.1109/ICTS58770.2023.10330867
M3 - Conference contribution
AN - SCOPUS:85180373939
T3 - 2023 14th International Conference on Information and Communication Technology and System, ICTS 2023
SP - 88
EP - 93
BT - 2023 14th International Conference on Information and Communication Technology and System, ICTS 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th International Conference on Information and Communication Technology and System, ICTS 2023
Y2 - 4 October 2023 through 5 October 2023
ER -
