Artificial intelligence-driven radiomics study in cancer: the role of feature engineering and modeling

Modern medicine is reliant on various medical imaging technologies for non-invasively observing patients’ anatomy. However, the interpretation of medical images can be highly subjective and dependent on the expertise of clinicians. Moreover, some potentially useful quantitative information in medica...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Yuan-Peng, Zhang, Xin-Yun, Cheng, Yu-Ting, Li, Bing, Teng, Xin-Zhi, Zhang, Jiang, Lam, Saikit, Zhou, Ta, Ma, Zong-Rui, Sheng, Jia-Bao, Tam, Victor C. W., Lee, Shara W. Y., Ge, Hong, Cai, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10186733/
https://www.ncbi.nlm.nih.gov/pubmed/37189155
http://dx.doi.org/10.1186/s40779-023-00458-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10186733/
https://www.ncbi.nlm.nih.gov/pubmed/37189155
http://dx.doi.org/10.1186/s40779-023-00458-8

Ejemplares similares