BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

110 related articles for article (PubMed ID: 38134751)

  • 21. MSRA-Net: Tumor segmentation network based on Multi-scale Residual Attention.
    Wu Y; Jiang H; Pang W
    Comput Biol Med; 2023 May; 158():106818. PubMed ID: 36966557
    [TBL] [Abstract][Full Text] [Related]  

  • 22. 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]  

  • 23. U-net architecture with embedded Inception-ResNet-v2 image encoding modules for automatic segmentation of organs-at-risk in head and neck cancer radiation therapy based on computed tomography scans.
    Siciarz P; McCurdy B
    Phys Med Biol; 2022 Jun; 67(11):. PubMed ID: 35134792
    [No Abstract]   [Full Text] [Related]  

  • 24. 3D IFPN: Improved Feature Pyramid Network for Automatic Segmentation of Gastric Tumor.
    Li H; Liu B; Zhang Y; Fu C; Han X; Du L; Gao W; Chen Y; Liu X; Wang Y; Wang T; Ma G; Lei B
    Front Oncol; 2021; 11():618496. PubMed ID: 34094903
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Fully automatic tumor segmentation of breast ultrasound images with deep learning.
    Zhang S; Liao M; Wang J; Zhu Y; Zhang Y; Zhang J; Zheng R; Lv L; Zhu D; Chen H; Wang W
    J Appl Clin Med Phys; 2023 Jan; 24(1):e13863. PubMed ID: 36495018
    [TBL] [Abstract][Full Text] [Related]  

  • 26. RDCTrans U-Net: A Hybrid Variable Architecture for Liver CT Image Segmentation.
    Li L; Ma H
    Sensors (Basel); 2022 Mar; 22(7):. PubMed ID: 35408067
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Asymmetric multi-task attention network for prostate bed segmentation in computed tomography images.
    Xu X; Lian C; Wang S; Zhu T; Chen RC; Wang AZ; Royce TJ; Yap PT; Shen D; Lian J
    Med Image Anal; 2021 Aug; 72():102116. PubMed ID: 34217953
    [TBL] [Abstract][Full Text] [Related]  

  • 28. MG-Net: Multi-level global-aware network for thymoma segmentation.
    Li J; Sun W; von Deneen KM; Fan X; An G; Cui G; Zhang Y
    Comput Biol Med; 2023 Mar; 155():106635. PubMed ID: 36791547
    [TBL] [Abstract][Full Text] [Related]  

  • 29. 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]  

  • 30. Tumor attention networks: Better feature selection, better tumor segmentation.
    Pang S; Du A; Orgun MA; Wang Y; Yu Z
    Neural Netw; 2021 Aug; 140():203-222. PubMed ID: 33780873
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Automated lung tumor delineation on positron emission tomography/computed tomography via a hybrid regional network.
    Lei Y; Wang T; Jeong JJ; Janopaul-Naylor J; Kesarwala AH; Roper J; Tian S; Bradley JD; Liu T; Higgins K; Yang X
    Med Phys; 2023 Jan; 50(1):274-283. PubMed ID: 36203393
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Automatic segmentation of organs-at-risks of nasopharynx cancer and lung cancer by cross-layer attention fusion network with TELD-Loss.
    Liu Z; Sun C; Wang H; Li Z; Gao Y; Lei W; Zhang S; Wang G; Zhang S
    Med Phys; 2021 Nov; 48(11):6987-7002. PubMed ID: 34608652
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Fully automatic segmentation of craniomaxillofacial CT scans for computer-assisted orthognathic surgery planning using the nnU-Net framework.
    Dot G; Schouman T; Dubois G; Rouch P; Gajny L
    Eur Radiol; 2022 Jun; 32(6):3639-3648. PubMed ID: 35037088
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Improving segmentation and classification of renal tumors in small sample 3D CT images using transfer learning with convolutional neural networks.
    Zhu XL; Shen HB; Sun H; Duan LX; Xu YY
    Int J Comput Assist Radiol Surg; 2022 Jul; 17(7):1303-1311. PubMed ID: 35290645
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Information fusion for fully automated segmentation of head and neck tumors from PET and CT images.
    Shiri I; Amini M; Yousefirizi F; Vafaei Sadr A; Hajianfar G; Salimi Y; Mansouri Z; Jenabi E; Maghsudi M; Mainta I; Becker M; Rahmim A; Zaidi H
    Med Phys; 2024 Jan; 51(1):319-333. PubMed ID: 37475591
    [TBL] [Abstract][Full Text] [Related]  

  • 36. 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]  

  • 37. Deep Learning-Based Computed Tomography Image Standardization to Improve Generalizability of Deep Learning-Based Hepatic Segmentation.
    Lee SB; Hong Y; Cho YJ; Jeong D; Lee J; Yoon SH; Lee S; Choi YH; Cheon JE
    Korean J Radiol; 2023 Apr; 24(4):294-304. PubMed ID: 36907592
    [TBL] [Abstract][Full Text] [Related]  

  • 38. SAR-U-Net: Squeeze-and-excitation block and atrous spatial pyramid pooling based residual U-Net for automatic liver segmentation in Computed Tomography.
    Wang J; Lv P; Wang H; Shi C
    Comput Methods Programs Biomed; 2021 Sep; 208():106268. PubMed ID: 34274611
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Deep learning and level set approach for liver and tumor segmentation from CT scans.
    Alirr OI
    J Appl Clin Med Phys; 2020 Oct; 21(10):200-209. PubMed ID: 33113290
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Multi-scale attention and deep supervision-based 3D UNet for automatic liver segmentation from CT.
    Wang J; Zhang X; Guo L; Shi C; Tamura S
    Math Biosci Eng; 2023 Jan; 20(1):1297-1316. PubMed ID: 36650812
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 6.