Kidney Tumor Segmentation Based on FR2PAttU-Net Model

The incidence rate of kidney tumors increases year by year, especially for some incidental small tumors. It is challenging for doctors to segment kidney tumors from kidney CT images. Therefore, this paper proposes a deep learning model based on FR2PAttU-Net to help doctors process many CT images qui...

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Detalles Bibliográficos
Autores principales: Sun, Peng, Mo, Zengnan, Hu, Fangrong, Liu, Fang, Mo, Taiping, Zhang, Yewei, Chen, Zhencheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8968695/
https://www.ncbi.nlm.nih.gov/pubmed/35372025
http://dx.doi.org/10.3389/fonc.2022.853281

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8968695/
https://www.ncbi.nlm.nih.gov/pubmed/35372025
http://dx.doi.org/10.3389/fonc.2022.853281

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