These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

145 related articles for article (PubMed ID: 35606509)

  • 21. Chest X-ray pneumothorax segmentation using U-Net with EfficientNet and ResNet architectures.
    Abedalla A; Abdullah M; Al-Ayyoub M; Benkhelifa E
    PeerJ Comput Sci; 2021; 7():e607. PubMed ID: 34307860
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Dense-Unet: a light model for lung fields segmentation in Chest X-Ray images.
    Yahyatabar M; Jouvet P; Cheriet F
    Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():1242-1245. PubMed ID: 33018212
    [TBL] [Abstract][Full Text] [Related]  

  • 23. FMD-UNet: fine-grained feature squeeze and multiscale cascade dilated semantic aggregation dual-decoder UNet for COVID-19 lung infection segmentation from CT images.
    Wang W; Mao Q; Tian Y; Zhang Y; Xiang Z; Ren L
    Biomed Phys Eng Express; 2024 Aug; 10(5):. PubMed ID: 39142295
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Hybrid U-Net-based deep learning model for volume segmentation of lung nodules in CT images.
    Wang Y; Zhou C; Chan HP; Hadjiiski LM; Chughtai A; Kazerooni EA
    Med Phys; 2022 Nov; 49(11):7287-7302. PubMed ID: 35717560
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Segmentation and volume quantification of epicardial adipose tissue in computed tomography images.
    Li Y; Song S; Sun Y; Bao N; Yang B; Xu L
    Med Phys; 2022 Oct; 49(10):6477-6490. PubMed ID: 36047382
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Accurate object localization facilitates automatic esophagus segmentation in deep learning.
    Li Z; Gan G; Guo J; Zhan W; Chen L
    Radiat Oncol; 2024 May; 19(1):55. PubMed ID: 38735947
    [TBL] [Abstract][Full Text] [Related]  

  • 27. RA V-Net: deep learning network for automated liver segmentation.
    Lee Z; Qi S; Fan C; Xie Z; Meng J
    Phys Med Biol; 2022 Jun; 67(12):. PubMed ID: 35588720
    [No Abstract]   [Full Text] [Related]  

  • 28. MDU-Net: A Convolutional Network for Clavicle and Rib Segmentation from a Chest Radiograph.
    Wang W; Feng H; Bu Q; Cui L; Xie Y; Zhang A; Feng J; Zhu Z; Chen Z
    J Healthc Eng; 2020; 2020():2785464. PubMed ID: 32724504
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Segmentation of teeth in panoramic dental X-ray images using U-Net with a loss function weighted on the tooth edge.
    Nishitani Y; Nakayama R; Hayashi D; Hizukuri A; Murata K
    Radiol Phys Technol; 2021 Mar; 14(1):64-69. PubMed ID: 33398671
    [TBL] [Abstract][Full Text] [Related]  

  • 30. MADR-Net: multi-level attention dilated residual neural network for segmentation of medical images.
    Balraj K; Ramteke M; Mittal S; Bhargava R; Rathore AS
    Sci Rep; 2024 Jun; 14(1):12699. PubMed ID: 38830932
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Analysis of segmentation of lung parenchyma based on deep learning methods.
    Tan W; Huang P; Li X; Ren G; Chen Y; Yang J
    J Xray Sci Technol; 2021; 29(6):945-959. PubMed ID: 34487013
    [TBL] [Abstract][Full Text] [Related]  

  • 32. A new architecture combining convolutional and transformer-based networks for automatic 3D multi-organ segmentation on CT images.
    Li C; Bagher-Ebadian H; Sultan R; Elshaikh M; Movsas B; Zhu D; Chetty IJ
    Med Phys; 2023 Nov; 50(11):6990-7002. PubMed ID: 37738468
    [TBL] [Abstract][Full Text] [Related]  

  • 33. MEA-Net: multilayer edge attention network for medical image segmentation.
    Liu H; Feng Y; Xu H; Liang S; Liang H; Li S; Zhu J; Yang S; Li F
    Sci Rep; 2022 May; 12(1):7868. PubMed ID: 35551234
    [TBL] [Abstract][Full Text] [Related]  

  • 34. 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]  

  • 35. DFR-U-Net: Dual residual and feature fusion network for ulna and radius segmentation on dual-energy X-ray absorptiometry images.
    Yang F; Weng X; Wu Y; Miao Y; Lei P; Hu Z
    J Xray Sci Technol; 2023; 31(3):641-653. PubMed ID: 37038803
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Segmentation and suppression of pulmonary vessels in low-dose chest CT scans.
    Gu X; Wang J; Zhao J; Li Q
    Med Phys; 2019 Aug; 46(8):3603-3614. PubMed ID: 31240721
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Impact of Lung Segmentation on the Diagnosis and Explanation of COVID-19 in Chest X-ray Images.
    Teixeira LO; Pereira RM; Bertolini D; Oliveira LS; Nanni L; Cavalcanti GDC; Costa YMG
    Sensors (Basel); 2021 Oct; 21(21):. PubMed ID: 34770423
    [TBL] [Abstract][Full Text] [Related]  

  • 38. DUDA-Net: a double U-shaped dilated attention network for automatic infection area segmentation in COVID-19 lung CT images.
    Xie F; Huang Z; Shi Z; Wang T; Song G; Wang B; Liu Z
    Int J Comput Assist Radiol Surg; 2021 Sep; 16(9):1425-1434. PubMed ID: 34089438
    [TBL] [Abstract][Full Text] [Related]  

  • 39. RNGU-NET: a novel efficient approach in Segmenting Tuberculosis using chest X-Ray images.
    Turk F
    PeerJ Comput Sci; 2024; 10():e1780. PubMed ID: 38435571
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Lung computed tomography image segmentation based on U-Net network fused with dilated convolution.
    Chen KB; Xuan Y; Lin AJ; Guo SH
    Comput Methods Programs Biomed; 2021 Aug; 207():106170. PubMed ID: 34058628
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.