539 related articles for article (PubMed ID: 33222222)
1. 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]
2. 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]
3. Pancreas Segmentation in Abdominal CT Scans using Inter-/Intra-Slice Contextual Information with a Cascade Neural Network.
Yang Z; Zhang L; Zhang M; Feng J; Wu Z; Ren F; Lv Y
Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():5937-5940. PubMed ID: 31947200
[TBL] [Abstract][Full Text] [Related]
4. Multiscale unsupervised domain adaptation for automatic pancreas segmentation in CT volumes using adversarial learning.
Zhu Y; Hu P; Li X; Tian Y; Bai X; Liang T; Li J
Med Phys; 2022 Sep; 49(9):5799-5818. PubMed ID: 35833617
[TBL] [Abstract][Full Text] [Related]
5. Two-stage deep learning model for fully automated pancreas segmentation on computed tomography: Comparison with intra-reader and inter-reader reliability at full and reduced radiation dose on an external dataset.
Panda A; Korfiatis P; Suman G; Garg SK; Polley EC; Singh DP; Chari ST; Goenka AH
Med Phys; 2021 May; 48(5):2468-2481. PubMed ID: 33595105
[TBL] [Abstract][Full Text] [Related]
6. ASD-Net: a novel U-Net based asymmetric spatial-channel convolution network for precise kidney and kidney tumor image segmentation.
Ji Z; Mu J; Liu J; Zhang H; Dai C; Zhang X; Ganchev I
Med Biol Eng Comput; 2024 Jun; 62(6):1673-1687. PubMed ID: 38326677
[TBL] [Abstract][Full Text] [Related]
7. Attention-guided duplex adversarial U-net for pancreatic segmentation from computed tomography images.
Li M; Lian F; Li Y; Guo S
J Appl Clin Med Phys; 2022 Apr; 23(4):e13537. PubMed ID: 35199477
[TBL] [Abstract][Full Text] [Related]
8. Improving the slice interaction of 2.5D CNN for automatic pancreas segmentation.
Zheng H; Qian L; Qin Y; Gu Y; Yang J
Med Phys; 2020 Nov; 47(11):5543-5554. PubMed ID: 32502278
[TBL] [Abstract][Full Text] [Related]
9. Segmentation of pancreatic ductal adenocarcinoma (PDAC) and surrounding vessels in CT images using deep convolutional neural networks and texture descriptors.
Mahmoudi T; Kouzahkanan ZM; Radmard AR; Kafieh R; Salehnia A; Davarpanah AH; Arabalibeik H; Ahmadian A
Sci Rep; 2022 Feb; 12(1):3092. PubMed ID: 35197542
[TBL] [Abstract][Full Text] [Related]
10. HFRU-Net: High-Level Feature Fusion and Recalibration UNet for Automatic Liver and Tumor Segmentation in CT Images.
Kushnure DT; Talbar SN
Comput Methods Programs Biomed; 2022 Jan; 213():106501. PubMed ID: 34752959
[TBL] [Abstract][Full Text] [Related]
11. Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation.
Roth HR; Lu L; Lay N; Harrison AP; Farag A; Sohn A; Summers RM
Med Image Anal; 2018 Apr; 45():94-107. PubMed ID: 29427897
[TBL] [Abstract][Full Text] [Related]
12. UMRFormer-net: a three-dimensional U-shaped pancreas segmentation method based on a double-layer bridged transformer network.
Fang K; He B; Liu L; Hu H; Fang C; Huang X; Jia F
Quant Imaging Med Surg; 2023 Mar; 13(3):1619-1630. PubMed ID: 36915332
[TBL] [Abstract][Full Text] [Related]
13. MSRA-Net: Tumor segmentation network based on Multi-scale Residual Attention.
Wu Y; Jiang H; Pang W
Comput Biol Med; 2023 May; 158():106818. PubMed ID: 36966557
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Pancreas segmentation with probabilistic map guided bi-directional recurrent UNet.
Li J; Lin X; Che H; Li H; Qian X
Phys Med Biol; 2021 May; 66(11):. PubMed ID: 33915526
[TBL] [Abstract][Full Text] [Related]
16. Hybrid dilation and attention residual U-Net for medical image segmentation.
Wang Z; Zou Y; Liu PX
Comput Biol Med; 2021 Jul; 134():104449. PubMed ID: 33993015
[TBL] [Abstract][Full Text] [Related]
17. Graph-enhanced U-Net for semi-supervised segmentation of pancreas from abdomen CT scan.
Liu S; Liang S; Huang X; Yuan X; Zhong T; Zhang Y
Phys Med Biol; 2022 Jul; 67(15):. PubMed ID: 35892477
[No Abstract] [Full Text] [Related]
18. Attention-enabled 3D boosted convolutional neural networks for semantic CT segmentation using deep supervision.
Kearney V; Chan JW; Wang T; Perry A; Yom SS; Solberg TD
Phys Med Biol; 2019 Jul; 64(13):135001. PubMed ID: 31181561
[TBL] [Abstract][Full Text] [Related]
19. Complete abdomen and pelvis segmentation using U-net variant architecture.
Weston AD; Korfiatis P; Philbrick KA; Conte GM; Kostandy P; Sakinis T; Zeinoddini A; Boonrod A; Moynagh M; Takahashi N; Erickson BJ
Med Phys; 2020 Nov; 47(11):5609-5618. PubMed ID: 32740931
[TBL] [Abstract][Full Text] [Related]
20. ABCNet: A new efficient 3D dense-structure network for segmentation and analysis of body tissue composition on body-torso-wide CT images.
Liu T; Pan J; Torigian DA; Xu P; Miao Q; Tong Y; Udupa JK
Med Phys; 2020 Jul; 47(7):2986-2999. PubMed ID: 32170754
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]