Lesion segmentation in lung CT scans using unsupervised adversarial learning

Lesion segmentation in medical images is difficult yet crucial for proper diagnosis and treatment. Identifying lesions in medical images is costly and time-consuming and requires highly specialized knowledge. For this reason, supervised and semi-supervised learning techniques have been developed. Ne...

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Detalles Bibliográficos
Autores principales: Sherwani, Moiz Khan, Marzullo, Aldo, De Momi, Elena, Calimeri, Francesco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9486778/
https://www.ncbi.nlm.nih.gov/pubmed/36125656
http://dx.doi.org/10.1007/s11517-022-02651-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9486778/
https://www.ncbi.nlm.nih.gov/pubmed/36125656
http://dx.doi.org/10.1007/s11517-022-02651-8

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