356 related articles for article (PubMed ID: 37151131)
1. Attention-guided multi-scale context aggregation network for multi-modal brain glioma segmentation.
Wu S; Cao Y; Li X; Liu Q; Ye Y; Liu X; Zeng L; Tian M
Med Phys; 2023 Dec; 50(12):7629-7640. PubMed ID: 37151131
[TBL] [Abstract][Full Text] [Related]
2. [Fully Automatic Glioma Segmentation Algorithm of Magnetic Resonance Imaging Based on 3D-UNet With More Global Contextual Feature Extraction: An Improvement on Insufficient Extraction of Global Features].
Tian H; Wang Y; Ji Y; Rahman MM
Sichuan Da Xue Xue Bao Yi Xue Ban; 2024 Mar; 55(2):447-454. PubMed ID: 38645864
[TBL] [Abstract][Full Text] [Related]
3. A hybrid feature selection-based brain tumor detection and segmentation in multiparametric magnetic resonance imaging.
Chen H; Ban D; Qi XS; Pan X; Qiang Y; Yang Q
Med Phys; 2021 Nov; 48(11):7360-7371. PubMed ID: 34101842
[TBL] [Abstract][Full Text] [Related]
4. A hybrid feature selection-based approach for brain tumor detection and automatic segmentation on multiparametric magnetic resonance images.
Chen H; Ban D; Qi XS; Pan X; Qiang Y; Yang Q
Med Phys; 2021 Nov; 48(11):6614-6626. PubMed ID: 34089524
[TBL] [Abstract][Full Text] [Related]
5. SDS-Net: A lightweight 3D convolutional neural network with multi-branch attention for multimodal brain tumor accurate segmentation.
Wu Q; Pei Y; Cheng Z; Hu X; Wang C
Math Biosci Eng; 2023 Sep; 20(9):17384-17406. PubMed ID: 37920059
[TBL] [Abstract][Full Text] [Related]
6. Fully automated segmentation of brain tumor from multiparametric MRI using 3D context deep supervised U-Net.
Lin M; Momin S; Lei Y; Wang H; Curran WJ; Liu T; Yang X
Med Phys; 2021 Aug; 48(8):4365-4374. PubMed ID: 34101845
[TBL] [Abstract][Full Text] [Related]
7. TransConver: transformer and convolution parallel network for developing automatic brain tumor segmentation in MRI images.
Liang J; Yang C; Zeng M; Wang X
Quant Imaging Med Surg; 2022 Apr; 12(4):2397-2415. PubMed ID: 35371952
[TBL] [Abstract][Full Text] [Related]
8. A multiple-channel and atrous convolution network for ultrasound image segmentation.
Zhang L; Zhang J; Li Z; Song Y
Med Phys; 2020 Dec; 47(12):6270-6285. PubMed ID: 33007105
[TBL] [Abstract][Full Text] [Related]
9. Postoperative glioma segmentation in CT image using deep feature fusion model guided by multi-sequence MRIs.
Tang F; Liang S; Zhong T; Huang X; Deng X; Zhang Y; Zhou L
Eur Radiol; 2020 Feb; 30(2):823-832. PubMed ID: 31650265
[TBL] [Abstract][Full Text] [Related]
10. CANet: Context Aware Network for Brain Glioma Segmentation.
Liu Z; Tong L; Chen L; Zhou F; Jiang Z; Zhang Q; Wang Y; Shan C; Li L; Zhou H
IEEE Trans Med Imaging; 2021 Jul; 40(7):1763-1777. PubMed ID: 33720830
[TBL] [Abstract][Full Text] [Related]
11. CLCU-Net: Cross-level connected U-shaped network with selective feature aggregation attention module for brain tumor segmentation.
Wang YL; Zhao ZJ; Hu SY; Chang FL
Comput Methods Programs Biomed; 2021 Aug; 207():106154. PubMed ID: 34034031
[TBL] [Abstract][Full Text] [Related]
12. Cascaded mutual enhancing networks for brain tumor subregion segmentation in multiparametric MRI.
Momin S; Lei Y; Tian Z; Roper J; Lin J; Kahn S; Shu HK; Bradley J; Liu T; Yang X
Phys Med Biol; 2022 Apr; 67(8):. PubMed ID: 35299156
[TBL] [Abstract][Full Text] [Related]
13. Multi-scale brain tumor segmentation combined with deep supervision.
Yan B; Cao M; Gong W; Wei B
Int J Comput Assist Radiol Surg; 2022 Mar; 17(3):561-568. PubMed ID: 34894336
[TBL] [Abstract][Full Text] [Related]
14. Aggregation-and-Attention Network for brain tumor segmentation.
Lin CW; Hong Y; Liu J
BMC Med Imaging; 2021 Jul; 21(1):109. PubMed ID: 34243703
[TBL] [Abstract][Full Text] [Related]
15. MTDCNet: A 3D multi-threading dilated convolutional network for brain tumor automatic segmentation.
Chen W; Zhou W; Zhu L; Cao Y; Gu H; Yu B
J Biomed Inform; 2022 Sep; 133():104173. PubMed ID: 35998815
[TBL] [Abstract][Full Text] [Related]
16. Multi-level Kronecker Convolutional Neural Network (ML-KCNN) for Glioma Segmentation from Multi-modal MRI Volumetric Data.
Ali MJ; Raza B; Shahid AR
J Digit Imaging; 2021 Aug; 34(4):905-921. PubMed ID: 34327627
[TBL] [Abstract][Full Text] [Related]
17. mResU-Net: multi-scale residual U-Net-based brain tumor segmentation from multimodal MRI.
Li P; Li Z; Wang Z; Li C; Wang M
Med Biol Eng Comput; 2024 Mar; 62(3):641-651. PubMed ID: 37981627
[TBL] [Abstract][Full Text] [Related]
18. 3D brain glioma segmentation in MRI through integrating multiple densely connected 2D convolutional neural networks.
Zhang X; Hu Y; Chen W; Huang G; Nie S
J Zhejiang Univ Sci B; 2021 Jun; 22(6):462-475. PubMed ID: 34128370
[TBL] [Abstract][Full Text] [Related]
19. DFP-ResUNet:Convolutional Neural Network with a Dilated Convolutional Feature Pyramid for Multimodal Brain Tumor Segmentation.
Wang J; Gao J; Ren J; Luan Z; Yu Z; Zhao Y; Zhao Y
Comput Methods Programs Biomed; 2021 Sep; 208():106208. PubMed ID: 34174763
[TBL] [Abstract][Full Text] [Related]
20. SwinCross: Cross-modal Swin transformer for head-and-neck tumor segmentation in PET/CT images.
Li GY; Chen J; Jang SI; Gong K; Li Q
Med Phys; 2024 Mar; 51(3):2096-2107. PubMed ID: 37776263
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]