Classification of contrast-enhanced ultrasonograms in rectal cancer according to tumor inhomogeneity using machine learning-based texture analysis

BACKGROUND: Inhomogeneity within tumors can reflect tumor angiogenesis. Existing research into the quantization of angiogenesis mainly focuses on time-intensity curve parameters but has produced inconsistent results. In clinical work, it is difficult to achieve standardization and consistency for ma...

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Detalles Bibliográficos
Autores principales: Luo, Yuan, Qin, Lang-Kuan, Yan, Jing-Wen, Yin, Hao, Zhuang, Hua, Zhao, Jie-Ying, Wu, Yu-Ting, Wang, Zi-Qiang, Wang, Xin, Liu, Dong-Quan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9189163/
https://www.ncbi.nlm.nih.gov/pubmed/35706817
http://dx.doi.org/10.21037/tcr-21-2362

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9189163/
https://www.ncbi.nlm.nih.gov/pubmed/35706817
http://dx.doi.org/10.21037/tcr-21-2362

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