Distribution-free Uncertainty Quantification for Contour Objects with Application to Tumour Segmentation in PET Imaging

Wenhui Zhang
Proceedings of the Thirteenth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 230:536-537, 2024.

Cite this Paper


BibTeX
@InProceedings{pmlr-v230-zhang24a, title = {Distribution-free Uncertainty Quantification for Contour Objects with Application to Tumour Segmentation in PET Imaging}, author = {Zhang, Wenhui}, booktitle = {Proceedings of the Thirteenth Symposium on Conformal and Probabilistic Prediction with Applications}, pages = {536--537}, year = {2024}, editor = {Vantini, Simone and Fontana, Matteo and Solari, Aldo and Boström, Henrik and Carlsson, Lars}, volume = {230}, series = {Proceedings of Machine Learning Research}, month = {09--11 Sep}, publisher = {PMLR}, pdf = {https://raw.githubusercontent.com/mlresearch/v230/main/assets/zhang24a/zhang24a.pdf}, url = {https://proceedings.mlr.press/v230/zhang24a.html} }
Endnote
%0 Conference Paper %T Distribution-free Uncertainty Quantification for Contour Objects with Application to Tumour Segmentation in PET Imaging %A Wenhui Zhang %B Proceedings of the Thirteenth Symposium on Conformal and Probabilistic Prediction with Applications %C Proceedings of Machine Learning Research %D 2024 %E Simone Vantini %E Matteo Fontana %E Aldo Solari %E Henrik Boström %E Lars Carlsson %F pmlr-v230-zhang24a %I PMLR %P 536--537 %U https://proceedings.mlr.press/v230/zhang24a.html %V 230
APA
Zhang, W.. (2024). Distribution-free Uncertainty Quantification for Contour Objects with Application to Tumour Segmentation in PET Imaging. Proceedings of the Thirteenth Symposium on Conformal and Probabilistic Prediction with Applications, in Proceedings of Machine Learning Research 230:536-537 Available from https://proceedings.mlr.press/v230/zhang24a.html.

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