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Connection

Bin Zheng to Mammography

This is a "connection" page, showing publications Bin Zheng has written about Mammography.
Connection Strength

7.322
  1. Improving mammography lesion classification by optimal fusion of handcrafted and deep transfer learning features. Phys Med Biol. 2022 02 21; 67(5).
    View in: PubMed
    Score: 0.739
  2. Applying a new computer-aided detection scheme generated imaging marker to predict short-term breast cancer risk. Phys Med Biol. 2018 05 15; 63(10):105005.
    View in: PubMed
    Score: 0.569
  3. Prediction of breast cancer risk using a machine learning approach embedded with a locality preserving projection algorithm. Phys Med Biol. 2018 01 30; 63(3):035020.
    View in: PubMed
    Score: 0.558
  4. Computer-aided classification of mammographic masses using visually sensitive image features. J Xray Sci Technol. 2017; 25(1):171-186.
    View in: PubMed
    Score: 0.518
  5. A new approach to develop computer-aided diagnosis scheme of breast mass classification using deep learning technology. J Xray Sci Technol. 2017; 25(5):751-763.
    View in: PubMed
    Score: 0.518
  6. Developing a new case based computer-aided detection scheme and an adaptive cueing method to improve performance in detecting mammographic lesions. Phys Med Biol. 2017 01 21; 62(2):358-376.
    View in: PubMed
    Score: 0.517
  7. Assessment of performance and reproducibility of applying a content-based image retrieval scheme for classification of breast lesions. Med Phys. 2015 Jul; 42(7):4241-9.
    View in: PubMed
    Score: 0.466
  8. A new approach to develop computer-aided detection schemes of digital mammograms. Phys Med Biol. 2015 Jun 07; 60(11):4413-27.
    View in: PubMed
    Score: 0.462
  9. Assessment of a Four-View Mammographic Image Feature Based Fusion Model to Predict Near-Term Breast Cancer Risk. Ann Biomed Eng. 2015 Oct; 43(10):2416-28.
    View in: PubMed
    Score: 0.459
  10. A new and fast image feature selection method for developing an optimal mammographic mass detection scheme. Med Phys. 2014 Aug; 41(8):081906.
    View in: PubMed
    Score: 0.438
  11. Reduction of false-positive recalls using a computerized mammographic image feature analysis scheme. Phys Med Biol. 2014 Aug 07; 59(15):4357-73.
    View in: PubMed
    Score: 0.436
  12. Optimization of breast mass classification using sequential forward floating selection (SFFS) and a support vector machine (SVM) model. Int J Comput Assist Radiol Surg. 2014 Nov; 9(6):1005-20.
    View in: PubMed
    Score: 0.427
  13. Improving Performance of Breast Lesion Classification Using a ResNet50 Model Optimized with a Novel Attention Mechanism. Tomography. 2022 Sep 28; 8(5):2411-2425.
    View in: PubMed
    Score: 0.193
  14. Applying a new quantitative image analysis scheme based on global mammographic features to assist diagnosis of breast cancer. Comput Methods Programs Biomed. 2019 Oct; 179:104995.
    View in: PubMed
    Score: 0.155
  15. Classification of Breast Masses Using a Computer-Aided Diagnosis Scheme of Contrast Enhanced Digital Mammograms. Ann Biomed Eng. 2018 Sep; 46(9):1419-1431.
    View in: PubMed
    Score: 0.142
  16. Detectability comparison of simulated tumors in digital breast tomosynthesis using high-energy X-ray inline phase sensitive and commercial imaging systems. Phys Med. 2018 Mar; 47:34-41.
    View in: PubMed
    Score: 0.140
  17. Detectability comparison between a high energy x-ray phase sensitive and mammography systems in imaging phantoms with varying glandular-adipose ratios. Phys Med Biol. 2017 05 07; 62(9):3523-3538.
    View in: PubMed
    Score: 0.132
  18. Association between computed tissue density asymmetry in bilateral mammograms and near-term breast cancer risk. Breast J. 2014 May-Jun; 20(3):249-57.
    View in: PubMed
    Score: 0.107
  19. Detection of posteriorly located breast tumors using gold nanoparticles: a breast-mimicking phantom study. J Xray Sci Technol. 2014; 22(6):785-96.
    View in: PubMed
    Score: 0.105
  20. Prediction of near-term breast cancer risk based on bilateral mammographic feature asymmetry. Acad Radiol. 2013 Dec; 20(12):1542-50.
    View in: PubMed
    Score: 0.105
  21. A Pilot Study to Assess the Performance of Phase-Sensitive Breast Tomosynthesis. Radiology. 2023 Feb; 306(2):e213198.
    View in: PubMed
    Score: 0.048
  22. A phase sensitive x-ray breast tomosynthesis system: Preliminary patient images with cancer lesions. Phys Med Biol. 2021 10 29; 66(21).
    View in: PubMed
    Score: 0.045
  23. Development and preclinical evaluation of a patient-specific high energy x-ray phase sensitive breast tomosynthesis system. Med Phys. 2021 May; 48(5):2511-2520.
    View in: PubMed
    Score: 0.043
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

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