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Connection

Bin Zheng to ROC Curve

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

1.639
  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: 0.194
  2. Applying Quantitative Radiographic Image Markers to Predict Clinical Complications After Aneurysmal Subarachnoid Hemorrhage: A Pilot Study. Ann Biomed Eng. 2022 Apr; 50(4):413-425.
    View in: PubMed
    Score: 0.194
  3. Applying a radiomics-based CAD scheme to classify between malignant and benign pancreatic tumors using CT images. J Xray Sci Technol. 2022; 30(2):377-388.
    View in: PubMed
    Score: 0.192
  4. Developing a Quantitative Ultrasound Image Feature Analysis Scheme to Assess Tumor Treatment Efficacy Using a Mouse Model. Sci Rep. 2019 05 13; 9(1):7293.
    View in: PubMed
    Score: 0.160
  5. 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: 0.150
  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: 0.136
  7. Improving lung cancer prognosis assessment by incorporating synthetic minority oversampling technique and score fusion method. Med Phys. 2016 Jun; 43(6):2694-2703.
    View in: PubMed
    Score: 0.131
  8. 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: 0.123
  9. 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: 0.115
  10. 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: 0.112
  11. 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: 0.041
  12. Applying Quantitative CT Image Feature Analysis to Predict Response of Ovarian Cancer Patients to Chemotherapy. Acad Radiol. 2017 10; 24(10):1233-1239.
    View in: PubMed
    Score: 0.035
  13. Feature selection for the automated detection of metaphase chromosomes: performance comparison using a receiver operating characteristic method. Anal Cell Pathol (Amst). 2014; 2014:565392.
    View in: PubMed
    Score: 0.029
  14. 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: 0.027
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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