BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

209 related articles for article (PubMed ID: 37971691)

  • 1. Combined model integrating deep learning, radiomics, and clinical data to classify lung nodules at chest CT.
    Lin CY; Guo SM; Lien JJ; Lin WT; Liu YS; Lai CH; Hsu IL; Chang CC; Tseng YL
    Radiol Med; 2024 Jan; 129(1):56-69. PubMed ID: 37971691
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Development of a modified 3D region proposal network for lung nodule detection in computed tomography scans: a secondary analysis of lung nodule datasets.
    Lin CY; Guo SM; Lien JJ; Tsai TY; Liu YS; Lai CH; Hsu IL; Chang CC; Tseng YL
    Cancer Imaging; 2024 Mar; 24(1):40. PubMed ID: 38509635
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Computer-aided diagnosis of ground glass pulmonary nodule by fusing deep learning and radiomics features.
    Hu X; Gong J; Zhou W; Li H; Wang S; Wei M; Peng W; Gu Y
    Phys Med Biol; 2021 Mar; 66(6):065015. PubMed ID: 33596552
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The diagnostic and prognostic value of radiomics and deep learning technologies for patients with solid pulmonary nodules in chest CT images.
    Zhang R; Wei Y; Shi F; Ren J; Zhou Q; Li W; Chen B
    BMC Cancer; 2022 Nov; 22(1):1118. PubMed ID: 36319968
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A novel fusion algorithm for benign-malignant lung nodule classification on CT images.
    Ma L; Wan C; Hao K; Cai A; Liu L
    BMC Pulm Med; 2023 Nov; 23(1):474. PubMed ID: 38012620
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Development and Validation of a Risk Stratification Model of Pulmonary Ground-Glass Nodules Based on Complementary Lung-RADS 1.1 and Deep Learning Scores.
    Meng Q; Li B; Gao P; Liu W; Zhou P; Ding J; Zhang J; Ge H
    Front Public Health; 2022; 10():891306. PubMed ID: 35677762
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Feature-shared adaptive-boost deep learning for invasiveness classification of pulmonary subsolid nodules in CT images.
    Wang J; Chen X; Lu H; Zhang L; Pan J; Bao Y; Su J; Qian D
    Med Phys; 2020 Apr; 47(4):1738-1749. PubMed ID: 32020649
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Localized thin-section CT with radiomics feature extraction and machine learning to classify early-detected pulmonary nodules from lung cancer screening.
    Tu SJ; Wang CW; Pan KT; Wu YC; Wu CT
    Phys Med Biol; 2018 Mar; 63(6):065005. PubMed ID: 29446758
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep learning PET/CT-based radiomics integrates clinical data: A feasibility study to distinguish between tuberculosis nodules and lung cancer.
    Zhang X; Dong X; Saripan MIB; Du D; Wu Y; Wang Z; Cao Z; Wen D; Liu Y; Marhaban MH
    Thorac Cancer; 2023 Jul; 14(19):1802-1811. PubMed ID: 37183577
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Classification of lung nodules in CT scans using three-dimensional deep convolutional neural networks with a checkpoint ensemble method.
    Jung H; Kim B; Lee I; Lee J; Kang J
    BMC Med Imaging; 2018 Dec; 18(1):48. PubMed ID: 30509191
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A multi-instance tumor subtype classification method for small PET datasets using RA-DL attention module guided deep feature extraction with radiomics features.
    Diao Z; Jiang H
    Comput Biol Med; 2024 May; 174():108461. PubMed ID: 38626509
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Development of a combined radiomics and CT feature-based model for differentiating malignant from benign subcentimeter solid pulmonary nodules.
    Liu J; Qi L; Wang Y; Li F; Chen J; Cui S; Cheng S; Zhou Z; Li L; Wang J
    Eur Radiol Exp; 2024 Jan; 8(1):8. PubMed ID: 38228868
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Lung Cancer and Granuloma Identification Using a Deep Learning Model to Extract 3-Dimensional Radiomics Features in CT Imaging.
    Lin X; Jiao H; Pang Z; Chen H; Wu W; Wang X; Xiong L; Chen B; Huang Y; Li S; Li L
    Clin Lung Cancer; 2021 Sep; 22(5):e756-e766. PubMed ID: 33678583
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Preoperative diagnosis of malignant pulmonary nodules in lung cancer screening with a radiomics nomogram.
    Liu A; Wang Z; Yang Y; Wang J; Dai X; Wang L; Lu Y; Xue F
    Cancer Commun (Lond); 2020 Jan; 40(1):16-24. PubMed ID: 32125097
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Toward an Expert Level of Lung Cancer Detection and Classification Using a Deep Convolutional Neural Network.
    Zhang C; Sun X; Dang K; Li K; Guo XW; Chang J; Yu ZQ; Huang FY; Wu YS; Liang Z; Liu ZY; Zhang XG; Gao XL; Huang SH; Qin J; Feng WN; Zhou T; Zhang YB; Fang WJ; Zhao MF; Yang XN; Zhou Q; Wu YL; Zhong WZ
    Oncologist; 2019 Sep; 24(9):1159-1165. PubMed ID: 30996009
    [TBL] [Abstract][Full Text] [Related]  

  • 16. External validation of radiomics-based predictive models in low-dose CT screening for early lung cancer diagnosis.
    Garau N; Paganelli C; Summers P; Choi W; Alam S; Lu W; Fanciullo C; Bellomi M; Baroni G; Rampinelli C
    Med Phys; 2020 Sep; 47(9):4125-4136. PubMed ID: 32488865
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A radiomics-based decision support tool improves lung cancer diagnosis in combination with the Herder score in large lung nodules.
    Hunter B; Chen M; Ratnakumar P; Alemu E; Logan A; Linton-Reid K; Tong D; Senthivel N; Bhamani A; Bloch S; Kemp SV; Boddy L; Jain S; Gareeboo S; Rawal B; Doran S; Navani N; Nair A; Bunce C; Kaye S; Blackledge M; Aboagye EO; Devaraj A; Lee RW
    EBioMedicine; 2022 Dec; 86():104344. PubMed ID: 36370635
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Automated Lung Nodule Detection and Classification Using Deep Learning Combined with Multiple Strategies.
    Nasrullah N; Sang J; Alam MS; Mateen M; Cai B; Hu H
    Sensors (Basel); 2019 Aug; 19(17):. PubMed ID: 31466261
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Perinodular Parenchymal Features Improve Indeterminate Lung Nodule Classification.
    Masquelin AH; Alshaabi T; Cheney N; Estépar RSJ; Bates JHT; Kinsey CM
    Acad Radiol; 2023 Jun; 30(6):1073-1080. PubMed ID: 35933282
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Lung radiomics features for characterizing and classifying COPD stage based on feature combination strategy and multi-layer perceptron classifier.
    Yang Y; Li W; Guo Y; Zeng N; Wang S; Chen Z; Liu Y; Chen H; Duan W; Li X; Zhao W; Chen R; Kang Y
    Math Biosci Eng; 2022 May; 19(8):7826-7855. PubMed ID: 35801446
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.