Multimodal medical image fusion based on interval gradients and convolutional neural networks
Abstract Many image fusion methods have been proposed to leverage the advantages of functional and anatomical images while compensating for their shortcomings.These methods integrate functional and anatomical images while presenting physiological and metabolic organ information, making their diagnostic efficiency far greater than that of single-mod