ASO Author Reflections: Can Nodal Features Improve Treatment Response Prediction in Esophageal Cancer?

Kunwei Li; Shuaitong Zhang; Hong Shan

doi:10.1245/s10434-023-14299-1

ASO Author Reflections: Can Nodal Features Improve Treatment Response Prediction in Esophageal Cancer?

Kunwei Li
, Shuaitong Zhang
, Hong Shan^*

^*Corresponding author for this work

School of Medical Technology

Sun Yat-Sen University

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	8282-8283
Number of pages	2
Journal	Annals of Surgical Oncology
Volume	30
Issue number	13
DOIs	https://doi.org/10.1245/s10434-023-14299-1
Publication status	Published - Dec 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.1245/s10434-023-14299-1

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title = "ASO Author Reflections: Can Nodal Features Improve Treatment Response Prediction in Esophageal Cancer?",

author = "Kunwei Li and Shuaitong Zhang and Hong Shan",

year = "2023",

month = dec,

doi = "10.1245/s10434-023-14299-1",

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journal = "Annals of Surgical Oncology",

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T2 - Can Nodal Features Improve Treatment Response Prediction in Esophageal Cancer?

AU - Li, Kunwei

AU - Zhang, Shuaitong

AU - Shan, Hong

PY - 2023/12

Y1 - 2023/12

UR - https://www.scopus.com/pages/publications/85171569167

U2 - 10.1245/s10434-023-14299-1

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AN - SCOPUS:85171569167

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EP - 8283

JO - Annals of Surgical Oncology

JF - Annals of Surgical Oncology

IS - 13

ER -

ASO Author Reflections: Can Nodal Features Improve Treatment Response Prediction in Esophageal Cancer?

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