262 related articles for article (PubMed ID: 31947200)
1. 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]
2. 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]
3. 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]
4. 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]
5. Extension-contraction transformation network for pancreas segmentation in abdominal CT scans.
Zheng Y; Luo J
Comput Biol Med; 2023 Jan; 152():106410. PubMed ID: 36516578
[TBL] [Abstract][Full Text] [Related]
6. PAPNet: Convolutional network for pancreatic cyst segmentation.
Li J; Yin W; Wang Y
J Xray Sci Technol; 2023; 31(3):655-668. PubMed ID: 37038804
[TBL] [Abstract][Full Text] [Related]
7. Fully automatic multi-organ segmentation for head and neck cancer radiotherapy using shape representation model constrained fully convolutional neural networks.
Tong N; Gou S; Yang S; Ruan D; Sheng K
Med Phys; 2018 Oct; 45(10):4558-4567. PubMed ID: 30136285
[TBL] [Abstract][Full Text] [Related]
8. Pancreas segmentation using a dual-input v-mesh network.
Wang Y; Gong G; Kong D; Li Q; Dai J; Zhang H; Qu J; Liu X; Xue J
Med Image Anal; 2021 Apr; 69():101958. PubMed ID: 33550009
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Technical and Clinical Factors Affecting Success Rate of a Deep Learning Method for Pancreas Segmentation on CT.
Bagheri MH; Roth H; Kovacs W; Yao J; Farhadi F; Li X; Summers RM
Acad Radiol; 2020 May; 27(5):689-695. PubMed ID: 31537506
[TBL] [Abstract][Full Text] [Related]
11. Multi-scale U-like network with attention mechanism for automatic pancreas segmentation.
Yan Y; Zhang D
PLoS One; 2021; 16(5):e0252287. PubMed ID: 34043732
[TBL] [Abstract][Full Text] [Related]
12. An application of cascaded 3D fully convolutional networks for medical image segmentation.
Roth HR; Oda H; Zhou X; Shimizu N; Yang Y; Hayashi Y; Oda M; Fujiwara M; Misawa K; Mori K
Comput Med Imaging Graph; 2018 Jun; 66():90-99. PubMed ID: 29573583
[TBL] [Abstract][Full Text] [Related]
13. Morphological and multi-level geometrical descriptor analysis in CT and MRI volumes for automatic pancreas segmentation.
Asaturyan H; Gligorievski A; Villarini B
Comput Med Imaging Graph; 2019 Jul; 75():1-13. PubMed ID: 31103856
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Automatic Pancreas Segmentation in CT Images With Distance-Based Saliency-Aware DenseASPP Network.
Hu P; Li X; Tian Y; Tang T; Zhou T; Bai X; Zhu S; Liang T; Li J
IEEE J Biomed Health Inform; 2021 May; 25(5):1601-1611. PubMed ID: 32915752
[TBL] [Abstract][Full Text] [Related]
16. A deep learning framework for pancreas segmentation with multi-atlas registration and 3D level-set.
Zhang Y; Wu J; Liu Y; Chen Y; Chen W; Wu EX; Li C; Tang X
Med Image Anal; 2021 Feb; 68():101884. PubMed ID: 33246228
[TBL] [Abstract][Full Text] [Related]
17. Automated pancreas segmentation and volumetry using deep neural network on computed tomography.
Lim SH; Kim YJ; Park YH; Kim D; Kim KG; Lee DH
Sci Rep; 2022 Mar; 12(1):4075. PubMed ID: 35260710
[TBL] [Abstract][Full Text] [Related]
18. Abdominal artery segmentation method from CT volumes using fully convolutional neural network.
Oda M; Roth HR; Kitasaka T; Misawa K; Fujiwara M; Mori K
Int J Comput Assist Radiol Surg; 2019 Dec; 14(12):2069-2081. PubMed ID: 31493112
[TBL] [Abstract][Full Text] [Related]
19. Abdominal multi-organ segmentation with organ-attention networks and statistical fusion.
Wang Y; Zhou Y; Shen W; Park S; Fishman EK; Yuille AL
Med Image Anal; 2019 Jul; 55():88-102. PubMed ID: 31035060
[TBL] [Abstract][Full Text] [Related]
20. Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans.
Xie L; Yu Q; Zhou Y; Wang Y; Fishman EK; Yuille AL
IEEE Trans Med Imaging; 2020 Feb; 39(2):514-525. PubMed ID: 31352338
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]