id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajst-10656	Su, Chunjie	Deep learning based Metal Artifact Reduction in X-ray Computed Tomography	2023	6	.pdf	application/pdf	3234	162	44	With the rapid development of modern medical technology, the proportion of patients with metal implants (dentures, cardiac stents, bone marrow fixation nails, hip prostheses, etc.) is gradually increasing, so it is very important to reduce CT metal artifacts to improve the quality of CT images. In order to increase the utilization of small sample image information, the residual structure and attention mechanism are added to the generator, which strengthens the ability of extracting image information, enhances the ability of reducing metal artifacts, and can better retain the original metal artifact-containing useful image information.	cache/ajst-10656.pdf	txt/ajst-10656.txt