Deep Learning-based Classification and Prediction of Radiation Dermatitis in Head and Neck Patients

1. Image acquisition The images of the neck area were collected from the enrolled patients one week before and every week during radiotherapy. The photographs were taken from three angles (front, left and right oblique) of the neck area. 2. Grading evaluation Each image was individually graded by three experienced radiotherapy experts according to the RD criteria of RTOG 3. Data analysis Construct a dermatitis grading model basing on deep learning. Evaluate the performance of model using accuracy, precision, recall, F1-measure, dice value.