Artificial intelligence that detects surgical site infections from patient-submitted photos with 73% accuracy could enhance patient care and also reduce clinician burdens following surgeries.

A study published in npj Computational Materials presents a new AI system that uses computer vision and language processing ...

This paper introduces a Transformer-based model for text detection and classification in images. By combining a Vision Transformer (ViT) encoder and a Transformer decoder, the proposed approach ...

CNNs excel in handling grid-like data such as images, RNNs are unparalleled in their ability to process sequential data, GANs offer remarkable capabilities in generating new data samples, Transformers ...

Conversely, the transformer model excels at capturing global information. Methods: Given these considerations, this paper presents a transformer fusion context pyramid medical image segmentation ...

To this end, we propose the Adaptive Image Transformer (AIT) module that deploys an attention-based encoder-decoder architecture to simultaneously explore intra-coder and inter-coder (i.e., each ...

Keywords: myopia detection, fundus images, attentional FPN, detection transformer (DETR), dichotomous graph matching Citation: Li M, Liu S, Wang Z, Li X, Yan Z, Zhu R and Wan Z (2023) MyopiaDETR: ...