BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

117 related articles for article (PubMed ID: 38615586)

  • 1. Deep learning for the automatic detection and segmentation of parotid gland tumors on MRI.
    Zhang R; Wong LM; So TY; Cai Z; Deng Q; Tsang YM; Ai QYH; King AD
    Oral Oncol; 2024 May; 152():106796. PubMed ID: 38615586
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Classification of parotid gland tumors by using multimodal MRI and deep learning.
    Chang YJ; Huang TY; Liu YJ; Chung HW; Juan CJ
    NMR Biomed; 2021 Jan; 34(1):e4408. PubMed ID: 32886955
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Deep Network-Based Comprehensive Parotid Gland Tumor Detection.
    Sunnetci KM; Kaba E; Celiker FB; Alkan A
    Acad Radiol; 2024 Jan; 31(1):157-167. PubMed ID: 37271636
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Characterization of parotid gland tumors: added value of permeability MR imaging to DWI and DCE-MRI.
    Yabuuchi H; Kamitani T; Sagiyama K; Yamasaki Y; Hida T; Matsuura Y; Hino T; Murayama Y; Yasumatsu R; Yamamoto H
    Eur Radiol; 2020 Dec; 30(12):6402-6412. PubMed ID: 32613285
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Benign vs malignant vertebral compression fractures with MRI: a comparison between automatic deep learning network and radiologist's assessment.
    Liu B; Jin Y; Feng S; Yu H; Zhang Y; Li Y
    Eur Radiol; 2023 Jul; 33(7):5060-5068. PubMed ID: 37162531
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Radiomics and deep learning approach to the differential diagnosis of parotid gland tumors.
    Gündüz E; Alçin ÖF; Kizilay A; Piazza C
    Curr Opin Otolaryngol Head Neck Surg; 2022 Apr; 30(2):107-113. PubMed ID: 34907957
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Deep learning-assisted diagnosis of parotid gland tumors by using contrast-enhanced CT imaging.
    Shen XM; Mao L; Yang ZY; Chai ZK; Sun TG; Xu Y; Sun ZJ
    Oral Dis; 2023 Nov; 29(8):3325-3336. PubMed ID: 36520552
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Vanishing Parotid Tumors on MR Imaging.
    Matsusue E; Fujihara Y; Matsuda E; Tokuyasu Y; Nakamoto S; Nakamura K; Ogawa T
    Yonago Acta Med; 2018 Mar; 61(1):33-39. PubMed ID: 29599620
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Automatic segmentation of hepatocellular carcinoma on dynamic contrast-enhanced MRI based on deep learning.
    Luo X; Li P; Chen H; Zhou K; Piao S; Yang L; Hu B; Geng D
    Phys Med Biol; 2024 Mar; 69(6):. PubMed ID: 38330492
    [No Abstract]   [Full Text] [Related]  

  • 10. Segmentation of parotid glands from registered CT and MR images.
    Močnik D; Ibragimov B; Xing L; Strojan P; Likar B; Pernuš F; Vrtovec T
    Phys Med; 2018 Aug; 52():33-41. PubMed ID: 30139607
    [TBL] [Abstract][Full Text] [Related]  

  • 11. MRI-based automatic identification and segmentation of extrahepatic cholangiocarcinoma using deep learning network.
    Yang C; Zhou Q; Li M; Xu L; Zeng Y; Liu J; Wei Y; Shi F; Chen J; Li P; Shu Y; Yang L; Shu J
    BMC Cancer; 2023 Nov; 23(1):1089. PubMed ID: 37950207
    [TBL] [Abstract][Full Text] [Related]  

  • 12. [Value of magnetic resonance imaging in displaying the parotid gland segments of the facial nerve].
    Du LX; Yuan JP; Xu HJ; Du HF; Liang BL
    Nan Fang Yi Ke Da Xue Xue Bao; 2010 Jul; 30(7):1639-41. PubMed ID: 20650789
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Cascaded deep learning-based auto-segmentation for head and neck cancer patients: Organs at risk on T2-weighted magnetic resonance imaging.
    Korte JC; Hardcastle N; Ng SP; Clark B; Kron T; Jackson P
    Med Phys; 2021 Dec; 48(12):7757-7772. PubMed ID: 34676555
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Deep learning model developed by multiparametric MRI in differential diagnosis of parotid gland tumors.
    Gunduz E; Alçin OF; Kizilay A; Yildirim IO
    Eur Arch Otorhinolaryngol; 2022 Nov; 279(11):5389-5399. PubMed ID: 35596805
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Diagnostic performance of qualitative and radiomics approach to parotid gland tumors: which is the added benefit of texture analysis?
    Vernuccio F; Arnone F; Cannella R; Verro B; Comelli A; Agnello F; Stefano A; Gargano R; Rodolico V; Salvaggio G; Lagalla R; Midiri M; Lo Casto A
    Br J Radiol; 2021 Dec; 94(1128):20210340. PubMed ID: 34591597
    [TBL] [Abstract][Full Text] [Related]  

  • 16. The contrast-enhanced MRI can be substituted by unenhanced MRI in identifying and automatically segmenting primary nasopharyngeal carcinoma with the aid of deep learning models: An exploratory study in large-scale population of endemic area.
    Deng Y; Li C; Lv X; Xia W; Shen L; Jing B; Li B; Guo X; Sun Y; Xie C; Ke L
    Comput Methods Programs Biomed; 2022 Apr; 217():106702. PubMed ID: 35228147
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Differentiating parotid tumors by quantitative signal intensity evaluation on MR imaging.
    Matsusue E; Fujihara Y; Matsuda E; Tokuyasu Y; Nakamoto S; Nakamura K; Ogawa T
    Clin Imaging; 2017; 46():37-43. PubMed ID: 28704680
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Clinical Evaluation of a Multiparametric Deep Learning Model for Glioblastoma Segmentation Using Heterogeneous Magnetic Resonance Imaging Data From Clinical Routine.
    Perkuhn M; Stavrinou P; Thiele F; Shakirin G; Mohan M; Garmpis D; Kabbasch C; Borggrefe J
    Invest Radiol; 2018 Nov; 53(11):647-654. PubMed ID: 29863600
    [TBL] [Abstract][Full Text] [Related]  

  • 19. [Fully Automatic Glioma Segmentation Algorithm of Magnetic Resonance Imaging Based on 3D-UNet With More Global Contextual Feature Extraction: An Improvement on Insufficient Extraction of Global Features].
    Tian H; Wang Y; Ji Y; Rahman MM
    Sichuan Da Xue Xue Bao Yi Xue Ban; 2024 Mar; 55(2):447-454. PubMed ID: 38645864
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A deep-learning approach for segmentation of liver tumors in magnetic resonance imaging using UNet+.
    Wang J; Peng Y; Jing S; Han L; Li T; Luo J
    BMC Cancer; 2023 Nov; 23(1):1060. PubMed ID: 37923988
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.