APPLICATION OF CONVOLUTIONAL NEURAL NETWORK IN THE DIAGNOSIS OF CAVERNOUS SINUS INVASION IN PITUITARY ADENOMA

ObjectivesConvolutional neural network (CNN) is a deep-learning method for image classification and recognition based on a multi-layer NN.In this study, CNN was used to accurately assess cavernous sinus invasion (CSI) in pituitary adenoma (PA).MethodsA total of 371 patients with PA were enrolled in the retrospective study.The cohort was divided int

Many representations of the movement of healthcare knowledge through society exist, and multiple models for the translation of evidence into policy and practice have been articulated.Most are linear or cyclical and very few come close to reflecting the dense and intricate relationships, systems and politics of organizations and the processes requir