Weakly Supervised Tumor Detection in PET Using Class Response for Treatment Outcome Prediction

It is proven that radiomic characteristics extracted from the tumor region are predictive. The first step in radiomic analysis is the segmentation of the lesion. However, this task is time consuming and requires a highly trained physician. This process could be automated using computer-aided detecti...

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Detalles Bibliográficos
Autores principales: Amyar, Amine, Modzelewski, Romain, Vera, Pierre, Morard, Vincent, Ruan, Su
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9147496/
https://www.ncbi.nlm.nih.gov/pubmed/35621894
http://dx.doi.org/10.3390/jimaging8050130

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9147496/
https://www.ncbi.nlm.nih.gov/pubmed/35621894
http://dx.doi.org/10.3390/jimaging8050130

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