142 related articles for article (PubMed ID: 35985187)
1. An improved capsule network for glioma segmentation on MRI images: A curriculum learning approach.
Amiri Tehrani Zade A; Aziz MJ; Masoudnia S; Mirbagheri A; Ahmadian A
Comput Biol Med; 2022 Sep; 148():105917. PubMed ID: 35985187
[TBL] [Abstract][Full Text] [Related]
2. Accurate Automatic Glioma Segmentation in Brain MRI images Based on CapsNet.
Aziz MJ; Amiri Tehrani Zade A; Farnia P; Alimohamadi M; Makkiabadi B; Ahmadian A; Alirezaie J
Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():3882-3885. PubMed ID: 34892080
[TBL] [Abstract][Full Text] [Related]
3. Research and Analysis of Brain Glioma Imaging Based on Deep Learning.
Luo T; Li Y
J Healthc Eng; 2021; 2021():3426080. PubMed ID: 35911847
[TBL] [Abstract][Full Text] [Related]
4. Learning multi-modal brain tumor segmentation from privileged semi-paired MRI images with curriculum disentanglement learning.
Liu Z; Wei J; Li R; Zhou J
Comput Biol Med; 2023 Jun; 159():106927. PubMed ID: 37105113
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. DRRNet: Dense Residual Refine Networks for Automatic Brain Tumor Segmentation.
Sun J; Chen W; Peng S; Liu B
J Med Syst; 2019 Jun; 43(7):221. PubMed ID: 31177346
[TBL] [Abstract][Full Text] [Related]
8. DENSE-INception U-net for medical image segmentation.
Zhang Z; Wu C; Coleman S; Kerr D
Comput Methods Programs Biomed; 2020 Aug; 192():105395. PubMed ID: 32163817
[TBL] [Abstract][Full Text] [Related]
9. SDResU-Net: Separable and Dilated Residual U-Net for MRI Brain Tumor Segmentation.
Zhang J; Lv X; Sun Q; Zhang Q; Wei X; Liu B
Curr Med Imaging; 2020; 16(6):720-728. PubMed ID: 32723244
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Region-related focal loss for 3D brain tumor MRI segmentation.
Li B; You X; Peng Q; Wang J; Yang C
Med Phys; 2023 Jul; 50(7):4325-4339. PubMed ID: 36708251
[TBL] [Abstract][Full Text] [Related]
12. Multi-modal brain tumor segmentation via conditional synthesis with Fourier domain adaptation.
Khalil YA; Ayaz A; Lorenz C; Weese J; Pluim J; Breeuwer M
Comput Med Imaging Graph; 2024 Mar; 112():102332. PubMed ID: 38245925
[TBL] [Abstract][Full Text] [Related]
13. A novel end-to-end brain tumor segmentation method using improved fully convolutional networks.
Li H; Li A; Wang M
Comput Biol Med; 2019 May; 108():150-160. PubMed ID: 31005007
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. CASPIANET++: A multidimensional Channel-Spatial Asymmetric attention network with Noisy Student Curriculum Learning paradigm for brain tumor segmentation.
Liew A; Lee CC; Lan BL; Tan M
Comput Biol Med; 2021 Sep; 136():104690. PubMed ID: 34352452
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. 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]
18. Automatic Semantic Segmentation of Brain Gliomas from MRI Images Using a Deep Cascaded Neural Network.
Cui S; Mao L; Jiang J; Liu C; Xiong S
J Healthc Eng; 2018; 2018():4940593. PubMed ID: 29755716
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. A Novel Approach for Fully Automatic Intra-Tumor Segmentation With 3D U-Net Architecture for Gliomas.
Baid U; Talbar S; Rane S; Gupta S; Thakur MH; Moiyadi A; Sable N; Akolkar M; Mahajan A
Front Comput Neurosci; 2020; 14():10. PubMed ID: 32132913
[No Abstract] [Full Text] [Related]
[Next] [New Search]