iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network

We propose iW-Net, a deep learning model that allows for both automatic and interactive segmentation of lung nodules in computed tomography images. iW-Net is composed of two blocks: the first one provides an automatic segmentation and the second one allows to correct it by analyzing 2 points introdu...

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Detalles Bibliográficos
Autores principales: Aresta, Guilherme, Jacobs, Colin, Araújo, Teresa, Cunha, António, Ramos, Isabel, van Ginneken, Bram, Campilho, Aurélio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6690893/
https://www.ncbi.nlm.nih.gov/pubmed/31406194
http://dx.doi.org/10.1038/s41598-019-48004-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6690893/
https://www.ncbi.nlm.nih.gov/pubmed/31406194
http://dx.doi.org/10.1038/s41598-019-48004-8

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