Deep Learning With Radiomics for Disease Diagnosis and Treatment: Challenges and Potential

The high-throughput extraction of quantitative imaging features from medical images for the purpose of radiomic analysis, i.e., radiomics in a broad sense, is a rapidly developing and emerging research field that has been attracting increasing interest, particularly in multimodality and multi-omics...

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Detalles Bibliográficos
Autores principales: Zhang, Xingping, Zhang, Yanchun, Zhang, Guijuan, Qiu, Xingting, Tan, Wenjun, Yin, Xiaoxia, Liao, Liefa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8891653/
https://www.ncbi.nlm.nih.gov/pubmed/35251962
http://dx.doi.org/10.3389/fonc.2022.773840

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8891653/
https://www.ncbi.nlm.nih.gov/pubmed/35251962
http://dx.doi.org/10.3389/fonc.2022.773840

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