BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

149 related articles for article (PubMed ID: 33062038)

  • 1. A Benign and Malignant Breast Tumor Classification Method via Efficiently Combining Texture and Morphological Features on Ultrasound Images.
    Wei M; Du Y; Wu X; Su Q; Zhu J; Zheng L; Lv G; Zhuang J
    Comput Math Methods Med; 2020; 2020():5894010. PubMed ID: 33062038
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Robust phase-based texture descriptor for classification of breast ultrasound images.
    Cai L; Wang X; Wang Y; Guo Y; Yu J; Wang Y
    Biomed Eng Online; 2015 Mar; 14():26. PubMed ID: 25889570
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Differentiation of fat-poor angiomyolipoma from clear cell renal cell carcinoma in contrast-enhanced MDCT images using quantitative feature classification.
    Lee HS; Hong H; Jung DC; Park S; Kim J
    Med Phys; 2017 Jul; 44(7):3604-3614. PubMed ID: 28376281
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Non-invasive automated 3D thyroid lesion classification in ultrasound: a class of ThyroScan™ systems.
    Acharya UR; Vinitha Sree S; Krishnan MM; Molinari F; Garberoglio R; Suri JS
    Ultrasonics; 2012 Apr; 52(4):508-20. PubMed ID: 22154208
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Computer-assisted lip diagnosis on Traditional Chinese Medicine using multi-class support vector machines.
    Li F; Zhao C; Xia Z; Wang Y; Zhou X; Li GZ
    BMC Complement Altern Med; 2012 Aug; 12():127. PubMed ID: 22898352
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Breast Tumor Classification Using Intratumoral Quantitative Ultrasound Descriptors.
    Muhtadi S
    Comput Math Methods Med; 2022; 2022():1633858. PubMed ID: 35295204
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Comparison of methods for texture analysis of QUS parametric images in the characterization of breast lesions.
    Osapoetra LO; Chan W; Tran W; Kolios MC; Czarnota GJ
    PLoS One; 2020; 15(12):e0244965. PubMed ID: 33382837
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A comparison of methods for three-class mammograms classification.
    Milosevic M; Jovanovic Z; Jankovic D
    Technol Health Care; 2017 Aug; 25(4):657-670. PubMed ID: 28436405
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Computerized analysis of mammographic microcalcifications in morphological and texture feature spaces.
    Chan HP; Sahiner B; Lam KL; Petrick N; Helvie MA; Goodsitt MM; Adler DD
    Med Phys; 1998 Oct; 25(10):2007-19. PubMed ID: 9800710
    [TBL] [Abstract][Full Text] [Related]  

  • 10. SVM classifier of cervical histopathology images based on texture and morphological features.
    He S; Xiao B; Wei H; Huang S; Chen T
    Technol Health Care; 2023; 31(1):69-80. PubMed ID: 35754238
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A method for the automated classification of benign and malignant masses on digital breast tomosynthesis images using machine learning and radiomic features.
    Sakai A; Onishi Y; Matsui M; Adachi H; Teramoto A; Saito K; Fujita H
    Radiol Phys Technol; 2020 Mar; 13(1):27-36. PubMed ID: 31686300
    [TBL] [Abstract][Full Text] [Related]  

  • 12. [Multi-feature Extraction and Classification of Breast Tumor in Ultrasound Image].
    Ren L; Liu Y; Tong Y; Cao X; Wu Y
    Zhongguo Yi Liao Qi Xie Za Zhi; 2020 Apr; 44(4):294-301. PubMed ID: 32762200
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An Evaluation of the Effectiveness of Image-based Texture Features Extracted from Static B-mode Ultrasound Images in Distinguishing between Benign and Malignant Ovarian Masses.
    Al-Karawi D; Al-Assam H; Du H; Sayasneh A; Landolfo C; Timmerman D; Bourne T; Jassim S
    Ultrason Imaging; 2021 May; 43(3):124-138. PubMed ID: 33629652
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Fusion-Based Approach for Breast Ultrasound Image Classification Using Multiple-ROI Texture and Morphological Analyses.
    Daoud MI; Bdair TM; Al-Najar M; Alazrai R
    Comput Math Methods Med; 2016; 2016():6740956. PubMed ID: 28127383
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Feature selection algorithm based on binary BAT algorithm and optimum path forest classifier for breast cancer detection using both echographic and elastographic mode ultrasound images.
    Sasikala S; Ezhilarasi M; Arunkumar S
    J Cancer Res Ther; 2023; 19(2):191-197. PubMed ID: 37006057
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Ultrasound breast tumor image computer-aided diagnosis with texture and morphological features.
    Wu WJ; Moon WK
    Acad Radiol; 2008 Jul; 15(7):873-80. PubMed ID: 18572123
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Integrated local binary pattern texture features for classification of breast tissue imaged by optical coherence microscopy.
    Wan S; Lee HC; Huang X; Xu T; Xu T; Zeng X; Zhang Z; Sheikine Y; Connolly JL; Fujimoto JG; Zhou C
    Med Image Anal; 2017 May; 38():104-116. PubMed ID: 28327449
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Breast Tumor Classification in Ultrasound Images by Fusion of Deep Convolutional Neural Network and Shallow LBP Feature.
    Chen H; Ma M; Liu G; Wang Y; Jin Z; Liu C
    J Digit Imaging; 2023 Jun; 36(3):932-946. PubMed ID: 36720840
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Breast tumor classification using different features of quantitative ultrasound parametric images.
    Hsu SM; Kuo WH; Kuo FC; Liao YY
    Int J Comput Assist Radiol Surg; 2019 Apr; 14(4):623-633. PubMed ID: 30617720
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Ultrasound Image Texture Feature Learning-Based Breast Cancer Benign and Malignant Classification.
    Gong H; Qian M; Pan G; Hu B
    Comput Math Methods Med; 2021; 2021():6261032. PubMed ID: 35391913
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.