BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

285 related articles for article (PubMed ID: 33849483)

  • 1. Automated detection and segmentation of thoracic lymph nodes from CT using 3D foveal fully convolutional neural networks.
    Iuga AI; Carolus H; Höink AJ; Brosch T; Klinder T; Maintz D; Persigehl T; Baeßler B; Püsken M
    BMC Med Imaging; 2021 Apr; 21(1):69. PubMed ID: 33849483
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Automated localization and segmentation of cervical lymph nodes on contrast-enhanced CT using a 3D foveal fully convolutional neural network.
    Rinneburger M; Carolus H; Iuga AI; Weisthoff M; Lennartz S; Hokamp NG; Caldeira L; Shahzad R; Maintz D; Laqua FC; Baeßler B; Klinder T; Persigehl T
    Eur Radiol Exp; 2023 Jul; 7(1):45. PubMed ID: 37505296
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Automated mapping and N-Staging of thoracic lymph nodes in contrast-enhanced CT scans of the chest using a fully convolutional neural network.
    Iuga AI; Lossau T; Caldeira LL; Rinneburger M; Lennartz S; Große Hokamp N; Püsken M; Carolus H; Maintz D; Klinder T; Persigehl T
    Eur J Radiol; 2021 Jun; 139():109718. PubMed ID: 33962109
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Variability in the detection of enlarged mediastinal lymph nodes in staging lung cancer: a comparison of contrast-enhanced and unenhanced CT.
    Cascade PN; Gross BH; Kazerooni EA; Quint LE; Francis IR; Strawderman M; Korobkin M
    AJR Am J Roentgenol; 1998 Apr; 170(4):927-31. PubMed ID: 9530036
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Lymph node detection in CT scans using modified U-Net with residual learning and 3D deep network.
    Manjunatha Y; Sharma V; Iwahori Y; Bhuyan MK; Wang A; Ouchi A; Shimizu Y
    Int J Comput Assist Radiol Surg; 2023 Apr; 18(4):723-732. PubMed ID: 36630071
    [TBL] [Abstract][Full Text] [Related]  

  • 6. AAR-LN-DQ: Automatic anatomy recognition based disease quantification in thoracic lymph node zones via FDG PET/CT images without Nodal Delineation.
    Xu G; Udupa JK; Tong Y; Odhner D; Cao H; Torigian DA
    Med Phys; 2020 Aug; 47(8):3467-3484. PubMed ID: 32418221
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Development and validation of the 3D U-Net algorithm for segmentation of pelvic lymph nodes on diffusion-weighted images.
    Liu X; Sun Z; Han C; Cui Y; Huang J; Wang X; Zhang X; Wang X
    BMC Med Imaging; 2021 Nov; 21(1):170. PubMed ID: 34774001
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Radiomics Signature Using Manual Versus Automated Segmentation for Lymph Node Staging of Bladder Cancer.
    Gresser E; Woźnicki P; Messmer K; Schreier A; Kunz WG; Ingrisch M; Stief C; Ricke J; Nörenberg D; Buchner A; Schulz GB
    Eur Urol Focus; 2023 Jan; 9(1):145-153. PubMed ID: 36115774
    [TBL] [Abstract][Full Text] [Related]  

  • 9. An [18F]FDG-PET/CT deep learning method for fully automated detection of pathological mediastinal lymph nodes in lung cancer patients.
    Wallis D; Soussan M; Lacroix M; Akl P; Duboucher C; Buvat I
    Eur J Nucl Med Mol Imaging; 2022 Feb; 49(3):881-888. PubMed ID: 34519888
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Deep learning-based fully automated detection and segmentation of lymph nodes on multiparametric-mri for rectal cancer: A multicentre study.
    Zhao X; Xie P; Wang M; Li W; Pickhardt PJ; Xia W; Xiong F; Zhang R; Xie Y; Jian J; Bai H; Ni C; Gu J; Yu T; Tang Y; Gao X; Meng X
    EBioMedicine; 2020 Jun; 56():102780. PubMed ID: 32512507
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Semantic segmentation and detection of mediastinal lymph nodes and anatomical structures in CT data for lung cancer staging.
    Bouget D; Jørgensen A; Kiss G; Leira HO; Langø T
    Int J Comput Assist Radiol Surg; 2019 Jun; 14(6):977-986. PubMed ID: 30891655
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Combining many-objective radiomics and 3D convolutional neural network through evidential reasoning to predict lymph node metastasis in head and neck cancer.
    Chen L; Zhou Z; Sher D; Zhang Q; Shah J; Pham NL; Jiang S; Wang J
    Phys Med Biol; 2019 Mar; 64(7):075011. PubMed ID: 30780137
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Prediction of Lymph Node Maximum Standardized Uptake Value in Patients With Cancer Using a 3D Convolutional Neural Network: A Proof-of-Concept Study.
    Shaish H; Mutasa S; Makkar J; Chang P; Schwartz L; Ahmed F
    AJR Am J Roentgenol; 2019 Feb; 212(2):238-244. PubMed ID: 30540209
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Bronchogenic carcinoma: analysis of staging in the mediastinum with CT by correlative lymph node mapping and sampling.
    McLoud TC; Bourgouin PM; Greenberg RW; Kosiuk JP; Templeton PA; Shepard JA; Moore EH; Wain JC; Mathisen DJ; Grillo HC
    Radiology; 1992 Feb; 182(2):319-23. PubMed ID: 1732943
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Deep convolutional neural network for segmentation of thoracic organs-at-risk using cropped 3D images.
    Feng X; Qing K; Tustison NJ; Meyer CH; Chen Q
    Med Phys; 2019 May; 46(5):2169-2180. PubMed ID: 30830685
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Lymph node detection and segmentation in chest CT data using discriminative learning and a spatial prior.
    Feulner J; Zhou SK; Hammon M; Hornegger J; Comaniciu D
    Med Image Anal; 2013 Feb; 17(2):254-70. PubMed ID: 23246185
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Evaluation of metastatic lymph nodes in cN0 thoracic esophageal cancer patients with inconsistent pathological lymph node diagnosis.
    Wakita A; Motoyama S; Sato Y; Kawakita Y; Nagaki Y; Terata K; Imai K; Minamiya Y
    World J Surg Oncol; 2020 May; 18(1):111. PubMed ID: 32471425
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Computed tomography of mediastinal lymph nodes in nonsmall cell lung cancer. A new approach based on the lymphatic pathway of tumor spread.
    Buy JN; Ghossain MA; Poirson F; Bazot M; Meary E; Malbec L; Rochemaure J; Lebeau B; Prudent J; Capron F
    J Comput Assist Tomogr; 1988; 12(4):545-52. PubMed ID: 2839559
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Radiomics analysis of dual-energy CT-derived iodine maps for diagnosing metastatic cervical lymph nodes in patients with papillary thyroid cancer.
    Zhou Y; Su GY; Hu H; Ge YQ; Si Y; Shen MP; Xu XQ; Wu FY
    Eur Radiol; 2020 Nov; 30(11):6251-6262. PubMed ID: 32500193
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.