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Deep Learning and Radiomics Based PET/CT Image Feature Extraction from Auto Segmented Tumor Volumes for Recurrence-Free Survival Prediction in Oropharyngeal Cancer Patients

Crossref DOI link: https://doi.org/10.1007/978-3-031-27420-6_24

Published Online: 2023-03-18

Published Print: 2023

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Ma, Baoqiang

Li, Yan

Chu, Hung

Tang, Wei

De la O Arévalo, Luis Ricardo

Guo, Jiapan

van Ooijen, Peter

Both, Stefan

Langendijk, Johannes Albertus

van Dijk, Lisanne V.

Sijtsema, Nanna Maria
License Information

Text and Data Mining valid from 2023-01-01

Version of Record valid from 2023-01-01
More Information

Chapter History

First Online: 18 March 2023

Conference Information

Conference Acronym: HECKTOR

Conference Name: 3D Head and Neck Tumor Segmentation in PET/CT Challenge

Conference City: Singapore

Conference Country: Singapore

Conference Year: 2022

Conference Start Date: 22 September 2022

Conference End Date: 22 September 2022

Conference Number: 3

Conference ID: hecktor2022

Conference URL: https://hecktor.grand-challenge.org/

Peer Review Information (provided by the conference organizers)

Type: Single-blind

Conference Management System: EasyChair

Number of Submissions Sent for Review: 26

Number of Full Papers Accepted: 24

Number of Short Papers Accepted: 0

Acceptance Rate of Full Papers: 92% - The value is computed by the equation "Number of Full Papers Accepted / Number of Submissions Sent for Review * 100" and then rounded to a whole number.

Average Number of Reviews per Paper: 2.8

Average Number of Papers per Reviewer: 2.9

External Reviewers Involved: No

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