BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

73 related articles for article (PubMed ID: 31950536)

  • 1. Corrigendum: "A machine learning texture model for classifying lung cancer subtypes using preliminary bronchoscopic findings" [Med Phys. 45, 5509-5514 (2018)].
    Med Phys; 2020 Jan; 47(1):289. PubMed ID: 31950536
    [No Abstract]   [Full Text] [Related]  

  • 2. A machine learning texture model for classifying lung cancer subtypes using preliminary bronchoscopic findings.
    Feng PH; Lin YT; Lo CM
    Med Phys; 2018 Dec; 45(12):5509-5514. PubMed ID: 30325517
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Classification of lung cancer subtypes based on autofluorescence bronchoscopic pattern recognition: A preliminary study.
    Feng PH; Chen TT; Lin YT; Chiang SY; Lo CM
    Comput Methods Programs Biomed; 2018 Sep; 163():33-38. PubMed ID: 30119855
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Corrigendum to "Classification of lung cancer subtypes based on autofluorescence bronchoscopic pattern recognition: A preliminary study" [Comput Methods Programs Biomed. 163 (2018) 33-38].
    Feng PH; Chen TT; Lin YT; Chiang SY; Lo CM
    Comput Methods Programs Biomed; 2019 Dec; 182():105095. PubMed ID: 31622831
    [No Abstract]   [Full Text] [Related]  

  • 5. Textural differences between renal cell carcinoma subtypes: Machine learning-based quantitative computed tomography texture analysis with independent external validation.
    Kocak B; Yardimci AH; Bektas CT; Turkcanoglu MH; Erdim C; Yucetas U; Koca SB; Kilickesmez O
    Eur J Radiol; 2018 Oct; 107():149-157. PubMed ID: 30292260
    [TBL] [Abstract][Full Text] [Related]  

  • 6. CT texture analysis for the prediction of KRAS mutation status in colorectal cancer via a machine learning approach.
    Taguchi N; Oda S; Yokota Y; Yamamura S; Imuta M; Tsuchigame T; Nagayama Y; Kidoh M; Nakaura T; Shiraishi S; Funama Y; Shinriki S; Miyamoto Y; Baba H; Yamashita Y
    Eur J Radiol; 2019 Sep; 118():38-43. PubMed ID: 31439256
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Optimizing a machine learning based glioma grading system using multi-parametric MRI histogram and texture features.
    Zhang X; Yan LF; Hu YC; Li G; Yang Y; Han Y; Sun YZ; Liu ZC; Tian Q; Han ZY; Liu LD; Hu BQ; Qiu ZY; Wang W; Cui GB
    Oncotarget; 2017 Jul; 8(29):47816-47830. PubMed ID: 28599282
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Classification of radiographic lung pattern based on texture analysis and machine learning.
    Yoon Y; Hwang T; Choi H; Lee H
    J Vet Sci; 2019 Jul; 20(4):e44. PubMed ID: 31364328
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Three-Dimensional Texture Analysis with Machine Learning Provides Incremental Predictive Information for Successful Shock Wave Lithotripsy in Patients with Kidney Stones.
    Mannil M; von Spiczak J; Hermanns T; Poyet C; Alkadhi H; Fankhauser CD
    J Urol; 2018 Oct; 200(4):829-836. PubMed ID: 29673945
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Erratum: "Predicting adenocarcinoma recurrence using computational texture models of nodule components in lung CT" [Med. Phys. 42, 2054 (10pp.) (2015)].
    Depeursinge A; Yanagawa M; Leung AN; Rubin DL
    Med Phys; 2015 May; 42(5):2653. PubMed ID: 25979058
    [No Abstract]   [Full Text] [Related]  

  • 11. Texture analysis as a radiomic marker for differentiating renal tumors.
    Yu H; Scalera J; Khalid M; Touret AS; Bloch N; Li B; Qureshi MM; Soto JA; Anderson SW
    Abdom Radiol (NY); 2017 Oct; 42(10):2470-2478. PubMed ID: 28421244
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Critical texture pattern feature assessment for characterizing colonies of induced pluripotent stem cells through machine learning techniques.
    Kavitha MS; Kurita T; Ahn BC
    Comput Biol Med; 2018 Mar; 94():55-64. PubMed ID: 29407998
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Breast cancer molecular subtype classifier that incorporates MRI features.
    Sutton EJ; Dashevsky BZ; Oh JH; Veeraraghavan H; Apte AP; Thakur SB; Morris EA; Deasy JO
    J Magn Reson Imaging; 2016 Jul; 44(1):122-9. PubMed ID: 26756416
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Texture analysis and machine learning of non-contrast T1-weighted MR images in patients with hypertrophic cardiomyopathy-Preliminary results.
    Baeßler B; Mannil M; Maintz D; Alkadhi H; Manka R
    Eur J Radiol; 2018 May; 102():61-67. PubMed ID: 29685546
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A machine learning approach to the accurate prediction of monitor units for a compact proton machine.
    Sun B; Lam D; Yang D; Grantham K; Zhang T; Mutic S; Zhao T
    Med Phys; 2018 May; 45(5):2243-2251. PubMed ID: 29500818
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Intra-tumoural heterogeneity characterization through texture and colour analysis for differentiation of non-small cell lung carcinoma subtypes.
    Ma Y; Feng W; Wu Z; Liu M; Zhang F; Liang Z; Cui C; Huang J; Li X; Guo X
    Phys Med Biol; 2018 Aug; 63(16):165018. PubMed ID: 30051884
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Corrigendum to "Decision tree machine learning applied to bovine tuberculosis risk factors to aid disease control decision making" [Prev. Vet. Med. 175 (2020) 104860].
    Pilar Romero M; Chang YM; Brunton LA; Parry J; Prosser A; Upton P; Rees E; Tearne O; Arnold M; Stevens K; Drewe JA
    Prev Vet Med; 2020 Feb; 175():104879. PubMed ID: 31892407
    [No Abstract]   [Full Text] [Related]  

  • 18. Experimental validation of a versatile system of CT dosimetry using a conventional ion chamber: beyond CTDI100.
    Dixon RL; Ballard AC
    Med Phys; 2007 Aug; 34(8):3399-413. PubMed ID: 17879802
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Corrigendum to "Machine learning techniques for mitoses classification" [Comput. Med. Imaging Graphics 87 January (2021) 101832].
    Nofallah S; Mehta S; Mercan E; Knezevich S; May CJ; Weaver D; Witten D; Elmore JG; Shapiro L
    Comput Med Imaging Graph; 2021 Jun; 90():101903. PubMed ID: 33845431
    [No Abstract]   [Full Text] [Related]  

  • 20. Texture Analysis and Machine Learning for Detecting Myocardial Infarction in Noncontrast Low-Dose Computed Tomography: Unveiling the Invisible.
    Mannil M; von Spiczak J; Manka R; Alkadhi H
    Invest Radiol; 2018 Jun; 53(6):338-343. PubMed ID: 29420321
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 4.