Fully automated volumetric measurement of malignant pleural mesothelioma by deep learning AI: validation and comparison with modified RECIST response criteria

BACKGROUND: In malignant pleural mesothelioma (MPM), complex tumour morphology results in inconsistent radiological response assessment. Promising volumetric methods require automation to be practical. We developed a fully automated Convolutional Neural Network (CNN) for this purpose, performed blin...

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Detalles Bibliográficos
Autores principales: Kidd, Andrew C, Anderson, Owen, Cowell, Gordon W, Weir, Alexander J, Voisey, Jeremy P, Evison, Matthew, Tsim, Selina, Goatman, Keith A, Blyth, Kevin G
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Pleural Disease
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9685726/
https://www.ncbi.nlm.nih.gov/pubmed/35110367
http://dx.doi.org/10.1136/thoraxjnl-2021-217808

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9685726/
https://www.ncbi.nlm.nih.gov/pubmed/35110367
http://dx.doi.org/10.1136/thoraxjnl-2021-217808

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