184 related articles for article (PubMed ID: 33848243)
1. HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation in CT Images.
He K; Lian C; Zhang B; Zhang X; Cao X; Nie D; Gao Y; Zhang J; Shen D
IEEE Trans Med Imaging; 2021 Aug; 40(8):2118-2128. PubMed ID: 33848243
[TBL] [Abstract][Full Text] [Related]
2. MetricUNet: Synergistic image- and voxel-level learning for precise prostate segmentation via online sampling.
He K; Lian C; Adeli E; Huo J; Gao Y; Zhang B; Zhang J; Shen D
Med Image Anal; 2021 Jul; 71():102039. PubMed ID: 33831595
[TBL] [Abstract][Full Text] [Related]
3. Asymmetric multi-task attention network for prostate bed segmentation in computed tomography images.
Xu X; Lian C; Wang S; Zhu T; Chen RC; Wang AZ; Royce TJ; Yap PT; Shen D; Lian J
Med Image Anal; 2021 Aug; 72():102116. PubMed ID: 34217953
[TBL] [Abstract][Full Text] [Related]
4. ARPM-net: A novel CNN-based adversarial method with Markov random field enhancement for prostate and organs at risk segmentation in pelvic CT images.
Zhang Z; Zhao T; Gay H; Zhang W; Sun B
Med Phys; 2021 Jan; 48(1):227-237. PubMed ID: 33151620
[TBL] [Abstract][Full Text] [Related]
5. Prostate segmentation by sparse representation based classification.
Gao Y; Liao S; Shen D
Med Phys; 2012 Oct; 39(10):6372-87. PubMed ID: 23039673
[TBL] [Abstract][Full Text] [Related]
6. CARes-UNet: Content-aware residual UNet for lesion segmentation of COVID-19 from chest CT images.
Xu X; Wen Y; Zhao L; Zhang Y; Zhao Y; Tang Z; Yang Z; Chen CY
Med Phys; 2021 Nov; 48(11):7127-7140. PubMed ID: 34528263
[TBL] [Abstract][Full Text] [Related]
7. AGs-Unet: Building Extraction Model for High Resolution Remote Sensing Images Based on Attention Gates U Network.
Yu M; Chen X; Zhang W; Liu Y
Sensors (Basel); 2022 Apr; 22(8):. PubMed ID: 35458917
[TBL] [Abstract][Full Text] [Related]
8. Automatic segmentation and applicator reconstruction for CT-based brachytherapy of cervical cancer using 3D convolutional neural networks.
Zhang D; Yang Z; Jiang S; Zhou Z; Meng M; Wang W
J Appl Clin Med Phys; 2020 Oct; 21(10):158-169. PubMed ID: 32991783
[TBL] [Abstract][Full Text] [Related]
9. Recurrent feature fusion learning for multi-modality pet-ct tumor segmentation.
Bi L; Fulham M; Li N; Liu Q; Song S; Dagan Feng D; Kim J
Comput Methods Programs Biomed; 2021 May; 203():106043. PubMed ID: 33744750
[TBL] [Abstract][Full Text] [Related]
10. Multi-scale segmentation squeeze-and-excitation UNet with conditional random field for segmenting lung tumor from CT images.
Zhang B; Qi S; Wu Y; Pan X; Yao Y; Qian W; Guan Y
Comput Methods Programs Biomed; 2022 Jul; 222():106946. PubMed ID: 35716533
[TBL] [Abstract][Full Text] [Related]
11. Eres-UNet++: Liver CT image segmentation based on high-efficiency channel attention and Res-UNet+.
Li J; Liu K; Hu Y; Zhang H; Heidari AA; Chen H; Zhang W; Algarni AD; Elmannai H
Comput Biol Med; 2023 May; 158():106501. PubMed ID: 36635120
[TBL] [Abstract][Full Text] [Related]
12. A Stacked Generalization U-shape network based on zoom strategy and its application in biomedical image segmentation.
Shi T; Jiang H; Zheng B
Comput Methods Programs Biomed; 2020 Dec; 197():105678. PubMed ID: 32791449
[TBL] [Abstract][Full Text] [Related]
13. Pelvic Organ Segmentation Using Distinctive Curve Guided Fully Convolutional Networks.
He K; Cao X; Shi Y; Nie D; Gao Y; Shen D
IEEE Trans Med Imaging; 2019 Feb; 38(2):585-595. PubMed ID: 30176583
[TBL] [Abstract][Full Text] [Related]
14. Pelvic multi-organ segmentation on cone-beam CT for prostate adaptive radiotherapy.
Fu Y; Lei Y; Wang T; Tian S; Patel P; Jani AB; Curran WJ; Liu T; Yang X
Med Phys; 2020 Aug; 47(8):3415-3422. PubMed ID: 32323330
[TBL] [Abstract][Full Text] [Related]
15. MS-UNet: A multi-scale UNet with feature recalibration approach for automatic liver and tumor segmentation in CT images.
Kushnure DT; Talbar SN
Comput Med Imaging Graph; 2021 Apr; 89():101885. PubMed ID: 33684731
[TBL] [Abstract][Full Text] [Related]
16. Two-stage multi-task deep learning framework for simultaneous pelvic bone segmentation and landmark detection from CT images.
Zhai H; Chen Z; Li L; Tao H; Wang J; Li K; Shao M; Cheng X; Wang J; Wu X; Wu C; Zhang X; Kettunen L; Wang H
Int J Comput Assist Radiol Surg; 2024 Jan; 19(1):97-108. PubMed ID: 37322299
[TBL] [Abstract][Full Text] [Related]
17. Locally-constrained boundary regression for segmentation of prostate and rectum in the planning CT images.
Shao Y; Gao Y; Wang Q; Yang X; Shen D
Med Image Anal; 2015 Dec; 26(1):345-56. PubMed ID: 26439938
[TBL] [Abstract][Full Text] [Related]
18. Gross tumor volume segmentation for head and neck cancer radiotherapy using deep dense multi-modality network.
Guo Z; Guo N; Gong K; Zhong S; Li Q
Phys Med Biol; 2019 Oct; 64(20):205015. PubMed ID: 31514173
[TBL] [Abstract][Full Text] [Related]
19. MSDS-UNet: A multi-scale deeply supervised 3D U-Net for automatic segmentation of lung tumor in CT.
Yang J; Wu B; Li L; Cao P; Zaiane O
Comput Med Imaging Graph; 2021 Sep; 92():101957. PubMed ID: 34325225
[TBL] [Abstract][Full Text] [Related]
20. MAD-UNet: A deep U-shaped network combined with an attention mechanism for pancreas segmentation in CT images.
Li W; Qin S; Li F; Wang L
Med Phys; 2021 Jan; 48(1):329-341. PubMed ID: 33222222
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]