Medical CT Image Cutting and Diagnostic Discrimination Model based on Decision Tree and Deep Neural Network

Cancer, with a high mortality rate, remains one of the top priorities in medical research. Rectal cancer is a common and significant threat in the research studies of medical image processing. It is still a challenge to determine the accuracy of lymph node metastasis preoperatively using universally accepted methods with preoperative CT images. The report argues that technology that applies deep learning to precisely identify lymph node metastasis in patients suffering from rectal cancer when CT scan images are analyzed should be used. We present advanced strategies with deep learning algorithms for understanding and classifying CT images, which demonstrate a more improved probability of image classification over traditional methods. This paper will improve image classification accuracy over traditional methods and open a more promising way for preoperative-based assessment in the treatment of rectal cancer.