CFANet: Context Feature Fusion and Attention Mechanism Based Network for Small Target Segmentation in Medical Images

Medical image segmentation plays a crucial role in clinical diagnosis, treatment planning, and disease monitoring. The automatic segmentation method based on deep learning has developed rapidly, with segmentation results comparable to clinical experts for large objects, but the segmentation accuracy...

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Detalles Bibliográficos
Autores principales: Cao, Ruifen, Ning, Long, Zhou, Chao, Wei, Pijing, Ding, Yun, Tan, Dayu, Zheng, Chunhou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10650041/
https://www.ncbi.nlm.nih.gov/pubmed/37960438
http://dx.doi.org/10.3390/s23218739

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10650041/
https://www.ncbi.nlm.nih.gov/pubmed/37960438
http://dx.doi.org/10.3390/s23218739

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