Deep versus Handcrafted Tensor Radiomics Features: Prediction of Survival in Head and Neck Cancer Using Machine Learning and Fusion Techniques

Background: Although handcrafted radiomics features (RF) are commonly extracted via radiomics software, employing deep features (DF) extracted from deep learning (DL) algorithms merits significant investigation. Moreover, a “tensor’’ radiomics paradigm where various flavours of a given feature are g...

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Detalles Bibliográficos
Autores principales: Salmanpour, Mohammad R., Rezaeijo, Seyed Masoud, Hosseinzadeh, Mahdi, Rahmim, Arman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10217462/
https://www.ncbi.nlm.nih.gov/pubmed/37238180
http://dx.doi.org/10.3390/diagnostics13101696

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10217462/
https://www.ncbi.nlm.nih.gov/pubmed/37238180
http://dx.doi.org/10.3390/diagnostics13101696

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