Screening for Extranodal Extension with Deep Learning: Evaluation in ECOG-ACRIN E3311, a Randomized De-Escalation Trial for HPV-Associated Oropharyngeal Carcinoma

Journal article

Open access

Peer reviewed

B.H. Kann, J. Likitlersuang, Z. Ye, S. Aneja, R.L. Bakst, H.R. Kelly, A. Juliano, S. Payabvash, J.P. Guenette, R. Uppaluri, …

International journal of radiation oncology, biology, physics, Vol.114(3), pp.S26-S27

11/2022

Handle:

https://hdl.handle.net/10523/22114

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https://doi.org/10.1016/j.ijrobp.2022.07.379View

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Record Identifier: 9926495084001891
Title: Screening for Extranodal Extension with Deep Learning: Evaluation in ECOG-ACRIN E3311, a Randomized De-Escalation Trial for HPV-Associated Oropharyngeal Carcinoma
Creators: B.H. Kann
J. Likitlersuang
Z. Ye
S. Aneja
R.L. Bakst
H.R. Kelly
A. Juliano
S. Payabvash
J.P. Guenette
R. Uppaluri
D.N. Margalit
J.D. Schoenfeld
R.B. Tishler
R.I. Haddad
H. Aerts
J.J. Garcia
Y. Flamand
R.M. Subramaniam
B. Burtness
R.L. Ferris
Publication Details: International journal of radiation oncology, biology, physics, Vol.114(3), pp.S26-S27
Academic Unit: Medicine (DSM)
Date published ; e-published: 11/2022
Language: English
Resource Type ; Subtype: Journal article