Radiomics-Based Preoperative Prediction of Lymph Node Status Following Neoadjuvant Therapy in Locally Advanced Rectal Cancer
Xuezhi Zhou(First People’s Hospital of Zunyi), Jie Tian(Shanghai Jiao Tong University), Liyu Huang(Xidian University), Kai Sun(Chinese Academy of Sciences), Yongju Yi(Sun Yat-sen University), Zhiyang Zhou(Shanghai Jiao Tong University), Yanqiu Feng(Southern Medical University), Zhenyu Liu(Shanxi Agricultural University), Bingjia Lai(Sun Yat-sen University), Wuteng Cao(Sun Yat-sen University), Longfei Li(Huazhong Agricultural University)
Cited by 58
Related Papers
The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges
|Theranostics|2019|1k
Radiomics Analysis for Evaluation of Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer
|Clinical Cancer Research|2017|562
Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation
|Medical Image Analysis|2017|489
Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning
|European Respiratory Journal|2019|441
The Role of Imaging in the Detection and Management of COVID-19: A Review
|IEEE Reviews in Biomedical Engineering|2020|420