Transformer Applications in Medical Imaging: A Survey
Transformers in Medical Imaging: A Survey
In this survey, we attempt to provide a comprehensive review of the applications of convolutional neural networks (transformers) in medical imaging covering various aspects, ranging from recently proposed architectural designs to unsolved issues.Specifically, we survey the use of transformers in medical image segmentation, detection, classification, reconstruction, reconstruction, synthesis, registration, clinical report generation, and other tasks.In particular, for each of these applications, we develop taxonomy, identify application-specific challenges as well as provide insights to solve them, and highlight recent trends.Further, we provide a critical discussion of the field as a whole, including the identification of key challenges, open problems, and outlining promising future directions.
