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Multimodal brain tu...
Multimodal brain tumor segmentation with normal appearance autoencoder
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- Astaraki, Mehdi, PhD Student, 1984- (författare)
- KTH,Medicinsk avbildning,Karolinska Institutet, Department of Oncology-Pathology Karolinska Universitetssjukhuset Solna Sweden
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- Wang, Chunliang, 1980- (författare)
- KTH,Medicinsk avbildning
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- Carrizo, Garrizo (författare)
- KTH,Medicinsk avbildning
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- Toma-Dasu, Iuliana (författare)
- Karolinska Institutet, Department of Oncology-Pathology Karolinska Universitetssjukhuset Solna Sweden
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- Smedby, Örjan, Professor, 1956- (författare)
- KTH,Medicinsk avbildning
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(creator_code:org_t)
- 2020-05-19
- 2019
- Engelska.
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Ingår i: International MICCAI Brainlesion Workshop. - Cham : Springer Nature. ; , s. 316-323
- Relaterad länk:
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https://link.springe...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- We propose a hybrid segmentation pipeline based on the autoencoders’ capability of anomaly detection. To this end, we, first, introduce a new augmentation technique to generate synthetic paired images. Gaining advantage from the paired images, we propose a Normal Appearance Autoencoder (NAA) that is able to remove tumors and thus reconstruct realistic-looking, tumor-free images. After estimating the regions where the abnormalities potentially exist, a segmentation network is guided toward the candidate region. We tested the proposed pipeline on the BraTS 2019 database. The preliminary results indicate that the proposed model improved the segmentation accuracy of brain tumor subregions compared to the U-Net model.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Medicinteknik -- Medicinsk bildbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Medical Engineering -- Medical Image Processing (hsv//eng)
Nyckelord
- Brain tumor segmentation
- Variational Autoencoder
- Paired-image generation
- Medicinsk teknologi
- Medical Technology
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)