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Mendeley readers
Chapter title |
Deep Learning and Radiomics Based PET/CT Image Feature Extraction from Auto Segmented Tumor Volumes for Recurrence-Free Survival Prediction in Oropharyngeal Cancer Patients
|
---|---|
Chapter number | 24 |
Book title |
Head and Neck Tumor Segmentation and Outcome Prediction
|
Published by |
Springer, Cham, January 2023
|
DOI | 10.1007/978-3-031-27420-6_24 |
Book ISBNs |
978-3-03-127419-0, 978-3-03-127420-6
|
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 |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 4 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 1 | 25% |
Student > Bachelor | 1 | 25% |
Unknown | 2 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 1 | 25% |
Engineering | 1 | 25% |
Unknown | 2 | 50% |