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收藏Quantitative digital histopathology and machine learning to predict pathological complete response to chemotherapy in breast cancer patients using pre-treatment tumor biopsies使用治疗前肿瘤活检的定量数字组织病理学和机器学习来预测乳腺癌患者对化疗的病理完全反应
Saednia, Khadijeh; Lagree, Andrew; Alera, Marie A.; Fleshner, Lauren; Shiner, Audrey; Law, Ethan; Law, Brianna; Dodington, David W.; Lu, Fang-, I; Tran, William T.; Sadeghi-Naini, Ali 分享 收藏 Machine Learning Frameworks to Predict Neoadjuvant Chemotherapy Response in Breast Cancer Using Clinical and Pathological FeaturesMeti, Nicholas; Saednia, Khadijeh; Lagree, Andrew; Tabbarah, Sami; Mohebpour, Majid; Kiss, Alex; Lu, Fang-I; Slodkowska, Elzbieta; Gandhi, Sonal; Jerzak, Katarzyna Joanna; Fleshner, Lauren; Law, Ethan; Sadeghi-Naini, Ali; Tran, William T. 分享 收藏 A review and comparison of breast tumor cell nuclei segmentation performances using deep convolutional neural networksLagree, Andrew; Mohebpour, Majidreza; Meti, Nicholas; Saednia, Khadijeh; Lu, Fang-, I; Slodkowska, Elzbieta; Gandhi, Sonal; Rakovitch, Eileen; Shenfield, Alex; Sadeghi-Naini, Ali; Tran, William T. 分享 收藏 分享 收藏 Quantitative Thermal Imaging Biomarkers to Detect Acute Skin Toxicity From Breast Radiation Therapy Using Supervised Machine LearningSaednia, Khadijeh; Tabbarah, Sami; Lagree, Andrew; Wu, Tina; Klein, Jonathan; Garcia, Eduardo; Hall, Michael; Chow, Edward; Rakovitch, Eileen; Childs, Charmaine; Sadeghi-Naini, Ali; Tran, William T. 分享 收藏 
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