146 related articles for article (PubMed ID: 37740132)
1. Automatic segmentation of brain glioma based on XY-Net.
Xu W; Liu J; Fan B
Med Biol Eng Comput; 2024 Jan; 62(1):153-166. PubMed ID: 37740132
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Automated glioma grading on conventional MRI images using deep convolutional neural networks.
Zhuge Y; Ning H; Mathen P; Cheng JY; Krauze AV; Camphausen K; Miller RW
Med Phys; 2020 Jul; 47(7):3044-3053. PubMed ID: 32277478
[TBL] [Abstract][Full Text] [Related]
4. A dual autoencoder and singular value decomposition based feature optimization for the segmentation of brain tumor from MRI images.
Aswani K; Menaka D
BMC Med Imaging; 2021 May; 21(1):82. PubMed ID: 33985449
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. IAS-NET: Joint intraclassly adaptive GAN and segmentation network for unsupervised cross-domain in neonatal brain MRI segmentation.
Li B; You X; Wang J; Peng Q; Yin S; Qi R; Ren Q; Hong Z
Med Phys; 2021 Nov; 48(11):6962-6975. PubMed ID: 34494276
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Brain tumor segmentation using holistically nested neural networks in MRI images.
Zhuge Y; Krauze AV; Ning H; Cheng JY; Arora BC; Camphausen K; Miller RW
Med Phys; 2017 Oct; 44(10):5234-5243. PubMed ID: 28736864
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Glioma segmentation based on dense contrastive learning and multimodal features recalibration.
Hu X; Wang L; Wang L; Chen Q; Zheng L; Zhu Y
Phys Med Biol; 2024 Apr; 69(9):. PubMed ID: 38537288
[TBL] [Abstract][Full Text] [Related]
11. Improved U-Net based on contour prediction for efficient segmentation of rectal cancer.
Li D; Chu X; Cui Y; Zhao J; Zhang K; Yang X
Comput Methods Programs Biomed; 2022 Jan; 213():106493. PubMed ID: 34749245
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Multimodal brain tumor image segmentation based on DenseNet.
Wu X; Yang X; Li Z; Liu L; Xia Y
PLoS One; 2024; 19(1):e0286125. PubMed ID: 38236898
[TBL] [Abstract][Full Text] [Related]
14. Convolutional neural network-based pelvic floor structure segmentation using magnetic resonance imaging in pelvic organ prolapse.
Feng F; Ashton-Miller JA; DeLancey JOL; Luo J
Med Phys; 2020 Sep; 47(9):4281-4293. PubMed ID: 32638370
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Explainable hybrid vision transformers and convolutional network for multimodal glioma segmentation in brain MRI.
Zeineldin RA; Karar ME; Elshaer Z; Coburger J; Wirtz CR; Burgert O; Mathis-Ullrich F
Sci Rep; 2024 Feb; 14(1):3713. PubMed ID: 38355678
[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. 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]
19. An MRI brain tumor segmentation method based on improved U-Net.
Zhu J; Zhang R; Zhang H
Math Biosci Eng; 2024 Jan; 21(1):778-791. PubMed ID: 38303443
[TBL] [Abstract][Full Text] [Related]
20. Relax and focus on brain tumor segmentation.
Wang P; Chung ACS
Med Image Anal; 2022 Jan; 75():102259. PubMed ID: 34800788
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]