Georgia Sovatzidi, Michael D. Vasilakakis, Dimitris K. Iakovidis. 3: An Interpretable Feature Fusion Framework for Lesion Risk Assessment Based on Auto-constructed Fuzzy Cognitive Maps. In Sharib Ali, Fons van der Sommen, Bartlomiej Wladyslaw Papiez, Maureen van Eijnatten, Yueming Jin, Iris Kolenbrander, editors, Cancer Prevention Through Early Detection - First International Workshop, CaPTion 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Volume 13581 of Lecture Notes in Computer Science, pages 77-86, Springer, 2022. [doi]
@inproceedings{SovatzidiVI22-1,
title = {3: An Interpretable Feature Fusion Framework for Lesion Risk Assessment Based on Auto-constructed Fuzzy Cognitive Maps},
author = {Georgia Sovatzidi and Michael D. Vasilakakis and Dimitris K. Iakovidis},
year = {2022},
doi = {10.1007/978-3-031-17979-2_8},
url = {https://doi.org/10.1007/978-3-031-17979-2_8},
researchr = {https://researchr.org/publication/SovatzidiVI22-1},
cites = {0},
citedby = {0},
pages = {77-86},
booktitle = {Cancer Prevention Through Early Detection - First International Workshop, CaPTion 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings},
editor = {Sharib Ali and Fons van der Sommen and Bartlomiej Wladyslaw Papiez and Maureen van Eijnatten and Yueming Jin and Iris Kolenbrander},
volume = {13581},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-17979-2},
}