Framework for Machine Learning of CT and PET Radiomics to Predict Local Failure after Radiotherapy in Locally Advanced Head and Neck Cancers

CONTEXT: Cancer Radiomics is an emerging field in medical imaging and refers to the process of converting routine radiological images that are typically qualitatively interpreted to quantifiable descriptions of the tumor phenotypes and when combined with statistical analytics can improve the accurac...

Descripción completa

Detalles Bibliográficos
Autores principales: Devakumar, Devadhas, Sunny, Goutham, Sasidharan, Balu Krishna, Bowen, Stephen R., Nadaraj, Ambily, Jeyseelan, L., Mathew, Manu, Irodi, Aparna, Isiah, Rajesh, Pavamani, Simon, John, Subhashini, T. Thomas, Hannah Mary
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8491314/
https://www.ncbi.nlm.nih.gov/pubmed/34703102
http://dx.doi.org/10.4103/jmp.JMP_6_21

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8491314/
https://www.ncbi.nlm.nih.gov/pubmed/34703102
http://dx.doi.org/10.4103/jmp.JMP_6_21

Ejemplares similares