Segmenting Brain Tumors from MRI Using Cascaded 3D U-Nets

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Brain Lesion workshop (6. : 2020 : Online) Brainlesion: glioma, multiple sclerosis, stroke and traumatic brain injuries ; Part 2
1. Verfasser: Kotowski, Krzysztof (VerfasserIn)
Weitere Verfasser: Adamski, Szymon (VerfasserIn), Malara, Wojciech (VerfasserIn), Machura, Bartosz (VerfasserIn), Zarudzki, Lukasz (VerfasserIn), Nalepa, Jakub (VerfasserIn)
Pages:2
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2021
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
Efficient MRI Brain Tumor Segmentation Using Multi-resolution Encoder-Decoder Networks 2021 Soltaninejad, Mohammadreza
Efficient Brain Tumour Segmentation Using Co-registered Data and Ensembles of Specialised Learners 2021 Shah, Beenitaben
Trialing U-Net Training Modifications for Segmenting Gliomas Using Open Source Deep Learning Framework 2021 Ellis, David G.
Attention U-Net with Dimension-Hybridized Fast Data Density Functional Theory for Automatic Brain Tumor Image Segmentation 2021 Su, Zi-Jun
Glioma Segmentation Using Ensemble of 2D/3D U-Nets and Survival Prediction Using Multiple Features Fusion 2021 Ali, Muhammad Junaid
Multi-threshold Attention U-Net (MTAU) Based Model for Multimodal Brain Tumor Segmentation in MRI Scans 2021 Awasthi, Navchetan
Generalized Wasserstein Dice Score, Distributionally Robust Deep Learning, and Ranger for Brain Tumor Segmentation: BraTS 2020 Challenge 2021 Fidon, Lucas
A Two-Stage Atrous Convolution Neural Network for Brain Tumor Segmentation and Survival Prediction 2021 Miron, Radu
Some New Tricks for Deep Glioma Segmentation 2021 Duncan, Chase
PieceNet: A Redundant UNet Ensemble 2021 Bommineni, Vikas L.
DR-Unet104 for Multimodal MRI Brain Tumor Segmentation 2021 Colman, Jordan
Learning Dynamic Convolutions for Multi-modal 3D MRI Brain Tumor Segmentation 2021 Yang, Qiushi
Multimodal Brain Tumor Classification 2021 Lerousseau, Marvin
H2NF-Net for Brain Tumor Segmentation Using Multimodal MR Imaging: 2nd Place Solution to BraTS Challenge 2020 Segmentation Task 2021 Jia, Haozhe
HI-Net: Hyperdense Inception 3D UNet for Brain Tumor Segmentation. 2021 Qamar, Saqib
2D Dense-UNet: A Clinically Valid Approach to Automated Glioma Segmentation 2021 McHugh, Hugh
A Deep Random Forest Approach for Multimodal Brain Tumor Segmentation 2021 Shaikh, Sameer
A Deep Supervision CNN Network for Brain Tumor Segmentation 2021 Ma, Shigiang
Multi-stage Deep Layer Aggregation for Brain Tumor Segmentation 2021 Silva, Carlos A.
3D Semantic Segmentation of Brain Tumor for Overall Survival Prediction 2021 Agravat, Rupal R.
Alle Artikel auflisten