%0 Journal Article %1 journals/nca/LiNSY23 %A Li, Hao %A Nan, Yang %A Ser, Javier Del %A Yang, Guang %D 2023 %J Neural Comput. Appl. %K dblp %N 30 %P 22071-22085 %T Region-based evidential deep learning to quantify uncertainty and improve robustness of brain tumor segmentation. %U http://dblp.uni-trier.de/db/journals/nca/nca35.html#LiNSY23 %V 35

@article{journals/nca/LiNSY23, added-at = {2023-11-12T00:00:00.000+0100}, author = {Li, Hao and Nan, Yang and Ser, Javier Del and Yang, Guang}, biburl = {https://www.bibsonomy.org/bibtex/2f2be078aeb3221e90aba46931f9a0825/dblp}, ee = {https://doi.org/10.1007/s00521-022-08016-4}, interhash = {13d2c6a52da18c9447df0cebaa411ab1}, intrahash = {f2be078aeb3221e90aba46931f9a0825}, journal = {Neural Comput. Appl.}, keywords = {dblp}, month = {October}, number = 30, pages = {22071-22085}, timestamp = {2024-04-08T10:01:01.000+0200}, title = {Region-based evidential deep learning to quantify uncertainty and improve robustness of brain tumor segmentation.}, url = {http://dblp.uni-trier.de/db/journals/nca/nca35.html#LiNSY23}, volume = 35, year = 2023 }