Feb 28, 2021 · In this paper, we train a transformer-based neural network to enhance the final CT image quality. To be specific, we first decompose the noisy ...

Sep 21, 2021 · In this paper, we train a transformer-based neural network to enhance the final CT image quality. To be specific, we first decompose the noisy ...

Code for "TransCT: Dual-path Transformer for Low Dose Computed Tomography", which has been accepted in MICCAI 2021.

Sep 1, 2021 · In this paper, the authors proposed a dual-path transformer-based neural network (TransCT) to enhance the LDCT image quality. The transformer ...

A transformer-based neural network is trained to enhance the final CT image quality and produce superior results and outperforms other methods on Mayo LDCT ...

The proposed method consists of two paths: a main path that uses a self-attention transformer block to perform image denoising, and an auxiliary path that uses ...

PDF | Low dose computed tomography (LDCT) has attracted more and more attention in routine clinical diagnosis assessment, therapy planning, etc., which.

Code for "TransCT: Dual-path Transformer for Low Dose Computed Tomography", which has been accepted in MICCAI 2021.

In our work, the CAT is designed to enable interaction between the clean gradient map I c g and LDCT image I l . It employs cross-attention to extract the ...