MS-DCANet: A Novel Segmentation Network For Multi-Modality COVID-19 Medical Images

AIM: The Coronavirus Disease 2019 (COVID-19) pandemic has increased the public health burden and brought profound disaster to humans. For the particularity of the COVID-19 medical images with blurred boundaries, low contrast and different infection sites, some researchers have improved the accuracy...

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Detalles Bibliográficos
Autores principales: Pan, Xiaoyu, Zhu, Huazheng, Du, Jinglong, Hu, Guangtao, Han, Baoru, Jia, Yuanyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10363353/
https://www.ncbi.nlm.nih.gov/pubmed/37489133
http://dx.doi.org/10.2147/JMDH.S417068

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10363353/
https://www.ncbi.nlm.nih.gov/pubmed/37489133
http://dx.doi.org/10.2147/JMDH.S417068

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