Radiomics Analysis for Evaluation of Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer
Zhenyu Liu(Shanxi Agricultural University), Ying‐Shi Sun(Ministry of Education), Lin Wang(Ministry of Education), Jie Tian(Shandong Institute of Automation), Yan‐Jie Shi(Ministry of Education), Shuo Wang(Hunan University), Haitao Zhu(Ministry of Education), Zhenchao Tang(Shandong Institute of Automation), Xiao-Ting Li(Ministry of Education), Xiaoyan Zhang(Tongji University)
Cited by 562
Related Papers
The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges
|Theranostics|2019|1k
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
Automatic identification of user goals in Web search
|Unknown|2005|403