BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

124 related articles for article (PubMed ID: 38498132)

  • 1. Anatomical attention can help to segment the dilated pancreatic duct in abdominal CT.
    Shen C; Roth HR; Hayashi Y; Oda M; Sato G; Miyamoto T; Rueckert D; Mori K
    Int J Comput Assist Radiol Surg; 2024 Apr; 19(4):655-664. PubMed ID: 38498132
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A cascaded fully convolutional network framework for dilated pancreatic duct segmentation.
    Shen C; Roth HR; Hayashi Y; Oda M; Miyamoto T; Sato G; Mori K
    Int J Comput Assist Radiol Surg; 2022 Feb; 17(2):343-354. PubMed ID: 34951681
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. 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]  

  • 5. 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]  

  • 6. 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]  

  • 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. 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]  

  • 9. A Two-Phase Approach using Mask R-CNN and 3D U-Net for High-Accuracy Automatic Segmentation of Pancreas in CT Imaging.
    Dogan RO; Dogan H; Bayrak C; Kayikcioglu T
    Comput Methods Programs Biomed; 2021 Aug; 207():106141. PubMed ID: 34020373
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. CTG-Net: an efficient cascaded framework driven by terminal guidance mechanism for dilated pancreatic duct segmentation.
    Zou L; Cai Z; Qiu Y; Gui L; Mao L; Yang X
    Phys Med Biol; 2023 Oct; 68(21):. PubMed ID: 37586389
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Self-paced DenseNet with boundary constraint for automated multi-organ segmentation on abdominal CT images.
    Tong N; Gou S; Niu T; Yang S; Sheng K
    Phys Med Biol; 2020 Jul; 65(13):135011. PubMed ID: 32657281
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Deep neural network-based segmentation of normal and abnormal pancreas on abdominal CT: evaluation of global and local accuracies.
    Kawamoto S; Zhu Z; Chu LC; Javed AA; Kinny-Köster B; Wolfgang CL; Hruban RH; Kinzler KW; Fouladi DF; Blanco A; Shayesteh S; Fishman EK
    Abdom Radiol (NY); 2024 Feb; 49(2):501-511. PubMed ID: 38102442
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Robust and efficient abdominal CT segmentation using shape constrained multi-scale attention network.
    Tong N; Xu Y; Zhang J; Gou S; Li M
    Phys Med; 2023 Jun; 110():102595. PubMed ID: 37178624
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Multi-Scale deep learning framework for cochlea localization, segmentation and analysis on clinical ultra-high-resolution CT images.
    Heutink F; Koch V; Verbist B; van der Woude WJ; Mylanus E; Huinck W; Sechopoulos I; Caballo M
    Comput Methods Programs Biomed; 2020 Jul; 191():105387. PubMed ID: 32109685
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. 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]  

  • 20. Hierarchical combinatorial deep learning architecture for pancreas segmentation of medical computed tomography cancer images.
    Fu M; Wu W; Hong X; Liu Q; Jiang J; Ou Y; Zhao Y; Gong X
    BMC Syst Biol; 2018 Apr; 12(Suppl 4):56. PubMed ID: 29745840
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.