Cervical‐YOSA: Utilizing prompt engineering and pre‐trained large‐scale models for automated segmentation of multi‐sequence MRI images in cervical cancer

Abstract Cervical cancer is a major health concern, particularly in developing countries with limited medical resources. This study introduces two models aimed at improving cervical tumor segmentation: a semi‐automatic model that fine‐tunes the Segment Anything Model (SAM) and a fully automated mode...

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Detalhes bibliográficos

Principais autores:	Yanwei Xia, Zhengjie Ou, Lihua Tan, Qiang Liu, Yanfen Cui, Da Teng, Dan Zhao
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Wiley 2024-10-01
Colecção:	IET Image Processing
Assuntos:	biomedical MRI image segmentation transforms
Acesso em linha:	https://doi.org/10.1049/ipr2.13194
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