BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

1702 related articles for article (PubMed ID: 32791449)

  • 1. 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]  

  • 2. Multi-scale nested UNet with transformer for colorectal polyp segmentation.
    Wang Z; Liu Z; Yu J; Gao Y; Liu M
    J Appl Clin Med Phys; 2024 Jun; 25(6):e14351. PubMed ID: 38551396
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Automated polyp segmentation for colonoscopy images: A method based on convolutional neural networks and ensemble learning.
    Guo X; Zhang N; Guo J; Zhang H; Hao Y; Hang J
    Med Phys; 2019 Dec; 46(12):5666-5676. PubMed ID: 31610020
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. A modality-collaborative convolution and transformer hybrid network for unpaired multi-modal medical image segmentation with limited annotations.
    Liu H; Zhuang Y; Song E; Xu X; Ma G; Cetinkaya C; Hung CC
    Med Phys; 2023 Sep; 50(9):5460-5478. PubMed ID: 36864700
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Vessel segmentation from volumetric images: a multi-scale double-pathway network with class-balanced loss at the voxel level.
    Chen Y; Fan S; Chen Y; Che C; Cao X; He X; Song X; Zhao F
    Med Phys; 2021 Jul; 48(7):3804-3814. PubMed ID: 33969487
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Incorporating prior shape knowledge via data-driven loss model to improve 3D liver segmentation in deep CNNs.
    Mohagheghi S; Foruzan AH
    Int J Comput Assist Radiol Surg; 2020 Feb; 15(2):249-257. PubMed ID: 31686380
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Deep label fusion: A generalizable hybrid multi-atlas and deep convolutional neural network for medical image segmentation.
    Xie L; Wisse LEM; Wang J; Ravikumar S; Khandelwal P; Glenn T; Luther A; Lim S; Wolk DA; Yushkevich PA
    Med Image Anal; 2023 Jan; 83():102683. PubMed ID: 36379194
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Catheter segmentation in X-ray fluoroscopy using synthetic data and transfer learning with light U-nets.
    Gherardini M; Mazomenos E; Menciassi A; Stoyanov D
    Comput Methods Programs Biomed; 2020 Aug; 192():105420. PubMed ID: 32171151
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Efficient skin lesion segmentation using separable-Unet with stochastic weight averaging.
    Tang P; Liang Q; Yan X; Xiang S; Sun W; Zhang D; Coppola G
    Comput Methods Programs Biomed; 2019 Sep; 178():289-301. PubMed ID: 31416556
    [TBL] [Abstract][Full Text] [Related]  

  • 14. UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation.
    Zhou Z; Siddiquee MMR; Tajbakhsh N; Liang J
    IEEE Trans Med Imaging; 2020 Jun; 39(6):1856-1867. PubMed ID: 31841402
    [TBL] [Abstract][Full Text] [Related]  

  • 15. OBELISK-Net: Fewer layers to solve 3D multi-organ segmentation with sparse deformable convolutions.
    Heinrich MP; Oktay O; Bouteldja N
    Med Image Anal; 2019 May; 54():1-9. PubMed ID: 30807894
    [TBL] [Abstract][Full Text] [Related]  

  • 16. FDRN: A fast deformable registration network for medical images.
    Sun K; Simon S
    Med Phys; 2021 Oct; 48(10):6453-6463. PubMed ID: 34053089
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. CAM-Wnet: An effective solution for accurate pulmonary embolism segmentation.
    Liu Z; Yuan H; Wang H
    Med Phys; 2022 Aug; 49(8):5294-5303. PubMed ID: 35609213
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Shape constrained fully convolutional DenseNet with adversarial training for multiorgan segmentation on head and neck CT and low-field MR images.
    Tong N; Gou S; Yang S; Cao M; Sheng K
    Med Phys; 2019 Jun; 46(6):2669-2682. PubMed ID: 31002188
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Multi-Modal Brain Tumor Data Completion Based on Reconstruction Consistency Loss.
    Jiang Y; Zhang S; Chi J
    J Digit Imaging; 2023 Aug; 36(4):1794-1807. PubMed ID: 36856903
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 86.