BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

153 related articles for article (PubMed ID: 36169904)

  • 1. Automatic lung tumor segmentation from CT images using improved 3D densely connected UNet.
    Zhang G; Yang Z; Jiang S
    Med Biol Eng Comput; 2022 Nov; 60(11):3311-3323. PubMed ID: 36169904
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Multiple Resolution Residually Connected Feature Streams for Automatic Lung Tumor Segmentation From CT Images.
    Jiang J; Hu YC; Liu CJ; Halpenny D; Hellmann MD; Deasy JO; Mageras G; Veeraraghavan H
    IEEE Trans Med Imaging; 2019 Jan; 38(1):134-144. PubMed ID: 30040632
    [TBL] [Abstract][Full Text] [Related]  

  • 4. An effective deep network for automatic segmentation of complex lung tumors in CT images.
    Wang B; Chen K; Tian X; Yang Y; Zhang X
    Med Phys; 2021 Sep; 48(9):5004-5016. PubMed ID: 34224147
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Deep learning-based internal gross target volume definition in 4D CT images of lung cancer patients.
    Ma Y; Mao J; Liu X; Dai Z; Zhang H; Zhang X; Li Q
    Med Phys; 2023 Apr; 50(4):2303-2316. PubMed ID: 36398404
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automatic segmentation of lung tumors on CT images based on a 2D & 3D hybrid convolutional neural network.
    Gan W; Wang H; Gu H; Duan Y; Shao Y; Chen H; Feng A; Huang Y; Fu X; Ying Y; Quan H; Xu Z
    Br J Radiol; 2021 Oct; 94(1126):20210038. PubMed ID: 34347535
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Lung_PAYNet: a pyramidal attention based deep learning network for lung nodule segmentation.
    Bruntha PM; Pandian SIA; Sagayam KM; Bandopadhyay S; Pomplun M; Dang H
    Sci Rep; 2022 Nov; 12(1):20330. PubMed ID: 36434060
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Automatic segmentation of organs at risk and tumors in CT images of lung cancer from partially labelled datasets with a semi-supervised conditional nnU-Net.
    Zhang G; Yang Z; Huo B; Chai S; Jiang S
    Comput Methods Programs Biomed; 2021 Nov; 211():106419. PubMed ID: 34563895
    [TBL] [Abstract][Full Text] [Related]  

  • 10. DRRNet: Dense Residual Refine Networks for Automatic Brain Tumor Segmentation.
    Sun J; Chen W; Peng S; Liu B
    J Med Syst; 2019 Jun; 43(7):221. PubMed ID: 31177346
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Automated segmentation of the left ventricle from MR cine imaging based on deep learning architecture.
    Qin W; Wu Y; Li S; Chen Y; Yang Y; Liu X; Zheng H; Liang D; Hu Z
    Biomed Phys Eng Express; 2020 Feb; 6(2):025009. PubMed ID: 33438635
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Znet: Deep Learning Approach for 2D MRI Brain Tumor Segmentation.
    Ottom MA; Rahman HA; Dinov ID
    IEEE J Transl Eng Health Med; 2022; 10():1800508. PubMed ID: 35774412
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Gross Tumor Volume Segmentation for Stage III NSCLC Radiotherapy Using 3D ResSE-Unet.
    Yu X; Jin F; Luo H; Lei Q; Wu Y
    Technol Cancer Res Treat; 2022; 21():15330338221090847. PubMed ID: 35443832
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Does non-COVID-19 lung lesion help? investigating transferability in COVID-19 CT image segmentation.
    Wang Y; Zhang Y; Liu Y; Tian J; Zhong C; Shi Z; Zhang Y; He Z
    Comput Methods Programs Biomed; 2021 Apr; 202():106004. PubMed ID: 33662804
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Automatic segmentation of prostate MRI based on 3D pyramid pooling Unet.
    Li Y; Lin C; Zhang Y; Feng S; Huang M; Bai Z
    Med Phys; 2023 Feb; 50(2):906-921. PubMed ID: 35923153
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Deep Deconvolutional Residual Network Based Automatic Lung Nodule Segmentation.
    Singadkar G; Mahajan A; Thakur M; Talbar S
    J Digit Imaging; 2020 Jun; 33(3):678-684. PubMed ID: 32026218
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Densely Connected U-Net With Criss-Cross Attention for Automatic Liver Tumor Segmentation in CT Images.
    Li Q; Song H; Wei Z; Yang F; Fan J; Ai D; Lin Y; Yu X; Yang J
    IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(6):3399-3410. PubMed ID: 35984790
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.