BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

271 related articles for article (PubMed ID: 34888542)

  • 41. 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]  

  • 42. Semantic segmentation of cerebrospinal fluid and brain volume with a convolutional neural network in pediatric hydrocephalus-transfer learning from existing algorithms.
    Grimm F; Edl F; Kerscher SR; Nieselt K; Gugel I; Schuhmann MU
    Acta Neurochir (Wien); 2020 Oct; 162(10):2463-2474. PubMed ID: 32583085
    [TBL] [Abstract][Full Text] [Related]  

  • 43. A Robust and Accurate Deep-learning-based Method for the Segmentation of Subcortical Brain: Cross-dataset Evaluation of Generalization Performance.
    Furuhashi N; Okuhata S; Kobayashi T
    Magn Reson Med Sci; 2021 Jun; 20(2):166-174. PubMed ID: 32389928
    [TBL] [Abstract][Full Text] [Related]  

  • 44. Automatic prostate segmentation using deep learning on clinically diverse 3D transrectal ultrasound images.
    Orlando N; Gillies DJ; Gyacskov I; Romagnoli C; D'Souza D; Fenster A
    Med Phys; 2020 Jun; 47(6):2413-2426. PubMed ID: 32166768
    [TBL] [Abstract][Full Text] [Related]  

  • 45. CE-Net: Context Encoder Network for 2D Medical Image Segmentation.
    Gu Z; Cheng J; Fu H; Zhou K; Hao H; Zhao Y; Zhang T; Gao S; Liu J
    IEEE Trans Med Imaging; 2019 Oct; 38(10):2281-2292. PubMed ID: 30843824
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Yeast cell segmentation in microstructured environments with deep learning.
    Prangemeier T; Wildner C; Françani AO; Reich C; Koeppl H
    Biosystems; 2022 Jan; 211():104557. PubMed ID: 34634444
    [TBL] [Abstract][Full Text] [Related]  

  • 47. A novel adaptive cubic quasi-Newton optimizer for deep learning based medical image analysis tasks, validated on detection of COVID-19 and segmentation for COVID-19 lung infection, liver tumor, and optic disc/cup.
    Liu Y; Zhang M; Zhong Z; Zeng X
    Med Phys; 2023 Mar; 50(3):1528-1538. PubMed ID: 36057788
    [TBL] [Abstract][Full Text] [Related]  

  • 48. 3D APA-Net: 3D Adversarial Pyramid Anisotropic Convolutional Network for Prostate Segmentation in MR Images.
    Jia H; Xia Y; Song Y; Zhang D; Huang H; Zhang Y; Cai W
    IEEE Trans Med Imaging; 2020 Feb; 39(2):447-457. PubMed ID: 31295109
    [TBL] [Abstract][Full Text] [Related]  

  • 49. GRUU-Net: Integrated convolutional and gated recurrent neural network for cell segmentation.
    Wollmann T; Gunkel M; Chung I; Erfle H; Rippe K; Rohr K
    Med Image Anal; 2019 Aug; 56():68-79. PubMed ID: 31200289
    [TBL] [Abstract][Full Text] [Related]  

  • 50. Clinical target segmentation using a novel deep neural network: double attention Res-U-Net.
    Ashkani Chenarlogh V; Shabanzadeh A; Ghelich Oghli M; Sirjani N; Farzin Moghadam S; Akhavan A; Arabi H; Shiri I; Shabanzadeh Z; Sanei Taheri M; Kazem Tarzamni M
    Sci Rep; 2022 Apr; 12(1):6717. PubMed ID: 35468984
    [TBL] [Abstract][Full Text] [Related]  

  • 51. An automated in vitro wound healing microscopy image analysis approach utilizing U-net-based deep learning methodology.
    Doğru D; Özdemir GD; Özdemir MA; Ercan UK; Topaloğlu Avşar N; Güren O
    BMC Med Imaging; 2024 Jun; 24(1):158. PubMed ID: 38914942
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Deep-learning-based detection and segmentation of organs at risk in nasopharyngeal carcinoma computed tomographic images for radiotherapy planning.
    Liang S; Tang F; Huang X; Yang K; Zhong T; Hu R; Liu S; Yuan X; Zhang Y
    Eur Radiol; 2019 Apr; 29(4):1961-1967. PubMed ID: 30302589
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Application of convolutional neural networks towards nuclei segmentation in localization-based super-resolution fluorescence microscopy images.
    Mela CA; Liu Y
    BMC Bioinformatics; 2021 Jun; 22(1):325. PubMed ID: 34130628
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Retinal vessel segmentation via a Multi-resolution Contextual Network and adversarial learning.
    Khan TM; Naqvi SS; Robles-Kelly A; Razzak I
    Neural Netw; 2023 Aug; 165():310-320. PubMed ID: 37327578
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Shading artifact correction in breast CT using an interleaved deep learning segmentation and maximum-likelihood polynomial fitting approach.
    Ghazi P; Hernandez AM; Abbey C; Yang K; Boone JM
    Med Phys; 2019 Aug; 46(8):3414-3430. PubMed ID: 31102462
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Deep learning to overcome Zernike phase-contrast nanoCT artifacts for automated micro-nano porosity segmentation in bone.
    Silveira A; Greving I; Longo E; Scheel M; Weitkamp T; Fleck C; Shahar R; Zaslansky P
    J Synchrotron Radiat; 2024 Jan; 31(Pt 1):136-149. PubMed ID: 38095668
    [TBL] [Abstract][Full Text] [Related]  

  • 57. InstantDL: an easy-to-use deep learning pipeline for image segmentation and classification.
    Waibel DJE; Shetab Boushehri S; Marr C
    BMC Bioinformatics; 2021 Mar; 22(1):103. PubMed ID: 33653266
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Boundary-aware context neural network for medical image segmentation.
    Wang R; Chen S; Ji C; Fan J; Li Y
    Med Image Anal; 2022 May; 78():102395. PubMed ID: 35231851
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Automatic segmentation of brain MRI using a novel patch-wise U-net deep architecture.
    Lee B; Yamanakkanavar N; Choi JY
    PLoS One; 2020; 15(8):e0236493. PubMed ID: 32745102
    [TBL] [Abstract][Full Text] [Related]  

  • 60. SAC-Net: Learning with weak and noisy labels in histopathology image segmentation.
    Guo R; Xie K; Pagnucco M; Song Y
    Med Image Anal; 2023 May; 86():102790. PubMed ID: 36878159
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 14.