Combination of Radiomics and Machine Learning with Diffusion-Weighted MR Imaging for Clinical Outcome Prognostication in Cervical Cancer

Objectives: To explore the potential of Radiomics alone and in combination with a diffusion-weighted derived quantitative parameter, namely the apparent diffusion co-efficient (ADC), using supervised classification algorithms in the prediction of outcomes and prognosis. Materials and Methods: Retros...

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Detalles Bibliográficos
Autores principales: Jajodia, Ankush, Gupta, Ayushi, Prosch, Helmut, Mayerhoefer, Marius, Mitra, Swarupa, Pasricha, Sunil, Mehta, Anurag, Puri, Sunil, Chaturvedi, Arvind
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8396356/
https://www.ncbi.nlm.nih.gov/pubmed/34449713
http://dx.doi.org/10.3390/tomography7030031

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8396356/
https://www.ncbi.nlm.nih.gov/pubmed/34449713
http://dx.doi.org/10.3390/tomography7030031

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