Application of Machine Learning for Differentiating Bone Malignancy on Imaging: A Systematic Review

SIMPLE SUMMARY: Distinguishing between benign vs. malignant bone lesions is often difficult on imaging. Many bone lesions are infrequent or rarely seen, and often only specialist radiologists have sufficient expertise to provide an accurate diagnosis. In addition, some benign bone tumours may exhibi...

Descripción completa

Detalles Bibliográficos
Autores principales: Ong, Wilson, Zhu, Lei, Tan, Yi Liang, Teo, Ee Chin, Tan, Jiong Hao, Kumar, Naresh, Vellayappan, Balamurugan A., Ooi, Beng Chin, Quek, Swee Tian, Makmur, Andrew, Hallinan, James Thomas Patrick Decourcy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10047175/
https://www.ncbi.nlm.nih.gov/pubmed/36980722
http://dx.doi.org/10.3390/cancers15061837

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10047175/
https://www.ncbi.nlm.nih.gov/pubmed/36980722
http://dx.doi.org/10.3390/cancers15061837

Ejemplares similares