Machine Learning-Based A Priori Chemotherapy Response Prediction in Breast Cancer Patients using Textural CT Biomarkers*
暂无分享,去创建一个
Gregory J. Czarnota | Ali Sadeghi-Naini | Lakshmanan Sannachi | Hadi Moghadas-Dastjerdi | Hira R. Sha-E-Tallat | Laurentius O. Osapoeta | G. Czarnota | A. Sadeghi-Naini | Hadi Moghadas-Dastjerdi | L. Sannachi | Hira R. Sha-E.-Tallat
[1] B. Tromberg,et al. Predicting response to breast cancer neoadjuvant chemotherapy using diffuse optical spectroscopy , 2007, Proceedings of the National Academy of Sciences.
[2] A. Jemal,et al. Cancer statistics, 2018 , 2018, CA: a cancer journal for clinicians.
[3] B. Cheson,et al. Positron-emission tomography and assessment of cancer therapy. , 2006, The New England journal of medicine.
[4] J. Ioannidis,et al. Neoadjuvant versus adjuvant systemic treatment in breast cancer: a meta-analysis. , 2005, Journal of the National Cancer Institute.
[5] Wilfrido Gómez-Flores,et al. Improving classification performance of breast lesions on ultrasonography , 2015, Pattern Recognit..
[6] Anna L. Brown,et al. Effect of preoperative chemotherapy on the outcome of women with operable breast cancer. , 1998, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[7] Nitesh V. Chawla,et al. SMOTE: Synthetic Minority Over-sampling Technique , 2002, J. Artif. Intell. Res..
[8] F. Blankenberg,et al. Imaging cell death in vivo. , 2003, The quarterly journal of nuclear medicine : official publication of the Italian Association of Nuclear Medicine (AIMN) [and] the International Association of Radiopharmacology.
[9] Isabelle Bedrosian,et al. Underuse of trimodality treatment affects survival for patients with inflammatory breast cancer: an analysis of treatment and survival trends from the National Cancer Database. , 2014, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[10] G. Hortobagyi. Breast cancer survival in the US and Europe: a CONCORD high-resolution study , 2013 .
[11] Michael C. Kolios,et al. Low-frequency quantitative ultrasound imaging of cell death in vivo. , 2013, Medical Physics (Lancaster).
[12] Vivek Verma,et al. Response rates and pathologic complete response by breast cancer molecular subtype following neoadjuvant chemotherapy , 2018, Breast Cancer Research and Treatment.
[13] Fuhui Long,et al. Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy , 2003, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[14] Wei Huang,et al. Early Prediction and Evaluation of Breast Cancer Response to Neoadjuvant Chemotherapy Using Quantitative DCE-MRI1 , 2016, Translational oncology.
[15] Gregory J. Czarnota,et al. Non-invasive evaluation of breast cancer response to chemotherapy using quantitative ultrasonic backscatter parameters , 2015, Medical Image Anal..
[16] F. Cardoso,et al. Management of locally advanced breast cancer—perspectives and future directions , 2015, Nature Reviews Clinical Oncology.
[17] Abbas Samani,et al. Lung CT image based automatic technique for COPD GOLD stage assessment , 2017, Expert Syst. Appl..
[18] Lubomir M. Hadjiiski,et al. Classifier performance prediction for computer-aided diagnosis using a limited dataset. , 2008, Medical physics.
[19] Abbas Samani,et al. Towards computer based lung disease diagnosis using accurate lung air segmentation of CT images in exhalation and inhalation phases , 2017, Expert Syst. Appl..
[20] Yoav Freund,et al. Boosting a weak learning algorithm by majority , 1995, COLT '90.
[21] Ali Sadeghi-Naini,et al. Predicting breast cancer response to neoadjuvant chemotherapy using pretreatment diffuse optical spectroscopic texture analysis , 2017, British Journal of Cancer.
[22] R. Tibshirani,et al. Improvements on Cross-Validation: The 632+ Bootstrap Method , 1997 .
[23] Robert M. Haralick,et al. Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..
[24] G. Hortobagyi,et al. Mastectomy following preoperative chemotherapy. Strict operative criteria control operative morbidity. , 1991, Annals of surgery.