Radiation Oncology | Radiology Clinical evaluation on automatic segmentation results of convolutional neural networks in rectal cancer radiotherapy. September 21, 2023
Oncology | Radiation Oncology Young oncologists benefit more than experts from deep learning-based organs-at-risk contouring modeling in nasopharyngeal carcinoma radiotherapy: A multi-institution clinical study exploring working experience and institute group style factor. May 30, 2023
Oncology | Radiology Machine learning for predicting accuracy of lung and liver tumor motion tracking using radiomic features. March 14, 2023
Radiation Oncology Automatic delineation of the clinical target volume and organs at risk by deep learning for rectal cancer postoperative radiotherapy. February 11, 2020