Super-resolution reconstruction for early cervical cancer magnetic resonance imaging based on deep learning

Abstract This study aims to develop a super-resolution (SR) algorithm tailored specifically for enhancing the image quality and resolution of early cervical cancer (CC) magnetic resonance imaging (MRI) images. The proposed method is subjected to both qualitative and quantitative analyses, thoroughly...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Chunxia Chen, Liu Xiong, Yongping Lin, Ming Li, Zhiyu Song, Jialin Su, Wenting Cao
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	BMC 2024-08-01
Edice:	BioMedical Engineering OnLine
Témata:	Computer-aided diagnosis Deep learning Magnetic resonance imaging Uterine cavity line
On-line přístup:	https://doi.org/10.1186/s12938-024-01281-5
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!