Pseudo slicer on three dimensional brain tumor segmentation

Mohammad Iqbal, Fitria Urbach, Hsing Kuo Pao, Anggraini Dwi Sensusiati, Nurul Hidayat, Imam Mukhlash

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


A constructive way to assist surgeons before performing brain tumor surgery is by visualizing a three-dimensional (3D) MRI image to determine the brain tumor volume when a pre-operative examination. However, the availability of 3D MRI brain tumors is more limited than 2D, especially for meningioma type. Therefore, we attempt to propose a model to construct a pseudo-3D volume of a meningioma tumor from a few 2D MRI slices. In the proposed model, we first generate pseudo slices for each given 2D MRI slice until satisfying 3D MRI construction from interpolation techniques, called pseudoslicer. Next, we segment the pseudo-3D MRIs to capture the 3D meningioma tumor using 3D volume-to-volume generative adversarial networks (3D-V2V-GAN). That is, we call the proposed model 3D-slicer-V2V-GAN or 3DS-V2V-GAN. In this work, the proposed model was evaluated from 27 meningioma patients at a private university hospital in Indonesia. The proposed model outperformed the SOTA model in terms of the Jaccard Index and dice coefficient. Additionally, we have radiologists to affirm the segmentation results in good quality.

Original languageEnglish
Title of host publicationProceedings - 2022 IEEE International Conference on Big Data, Big Data 2022
EditorsShusaku Tsumoto, Yukio Ohsawa, Lei Chen, Dirk Van den Poel, Xiaohua Hu, Yoichi Motomura, Takuya Takagi, Lingfei Wu, Ying Xie, Akihiro Abe, Vijay Raghavan
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages10
ISBN (Electronic)9781665480451
Publication statusPublished - 2022
Event2022 IEEE International Conference on Big Data, Big Data 2022 - Osaka, Japan
Duration: 17 Dec 202220 Dec 2022

Publication series

NameProceedings - 2022 IEEE International Conference on Big Data, Big Data 2022


Conference2022 IEEE International Conference on Big Data, Big Data 2022


  • Brain tumor
  • Generative adversarial
  • Image segmentation
  • Interpolation


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