Machine learning for predicting neoadjuvant chemotherapy effectiveness using ultrasound radiomics features and routine clinical data of patients with breast cancer by Pu Zhou, Pu Zhou, Hongyan Qian, Pengfei Zhu, Jiangyuan Ben, Jiangyuan Ben, Guifang Chen, Qiuyi Chen, Lingli Chen, Jia Chen, Ying He, Ying He

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Prediction of pathological complete response after neoadjuvant chemotherapy for HER2-negative breast cancer patients with routine immunohistochemical markers by Lothar Häberle, Ramona Erber, Paul Gass, Alexander Hein, Melitta Niklos, Bernhard Volz, Carolin C. Hack, Rüdiger Schulz-Wendtland, Hanna Huebner, Chloë Goossens, Matthias Christgen, Thilo Dörk, Tjoung-Won Park-Simon, Andreas Schneeweiss, Michael Untch, Valentina Nekljudova, Sibylle Loibl, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching

Subjects: “…pCR…”
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Combined morphology and radiomics of intravoxel incoherent movement as a predictive model for the pathologic complete response before neoadjuvant chemotherapy in patients with brea... by Yunyan Zheng, Hui Zhang, Huijian Chen, Yang Song, Ping Lu, Mingping Ma, Mengbo Lin, Muzhen He

Subjects: “…pathologic complete response (pCR)…”
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