Application of attention-based Siamese composite neural network in medical image recognition

arXiv:2304.09783v3 Announce Type: replace-cross
Abstract: Medical image recognition often faces the problem of insufficient data in practical applications. Image recognition and processing under few-shot conditions will produce overfitting, low recognition accuracy, low reliability and insufficient robustness. It is often the case that the difference of characteristics is subtle, and the recognition is affected by perspectives, background, occlusion and other factors, which increases the difficulty of recognition. Furthermore, in fine-grained images, the few-shot problem leads to insufficient useful feature information in …

abstract accuracy application applications arxiv attention case cs.cv data difference eess.iv few-shot image image recognition low medical network neural network overfitting practical processing recognition reliability robustness type will