Alexander Pfefferle, Lennart Purucker, Frank Hutter. DAFT: Data-Aware Fine-Tuning of Foundation Models for Efficient and Effective Medical Image Segmentation. In Jun Ma 0016, Yuyin Zhou, Bo Wang, editors, Medical Image Segmentation Foundation Models. CVPR 2024 Challenge: Segment Anything in Medical Images on Laptop - MedSAM on Laptop 2024, Held in Conjunction with CVPR 2024, Seattle, WA, USA, June 17-21, 2024, Proceedings. Volume 15458 of Lecture Notes in Computer Science, pages 15-38, Springer, 2024. [doi]
@inproceedings{PfefferlePH24,
title = {DAFT: Data-Aware Fine-Tuning of Foundation Models for Efficient and Effective Medical Image Segmentation},
author = {Alexander Pfefferle and Lennart Purucker and Frank Hutter},
year = {2024},
doi = {10.1007/978-3-031-81854-7_2},
url = {https://doi.org/10.1007/978-3-031-81854-7_2},
researchr = {https://researchr.org/publication/PfefferlePH24},
cites = {0},
citedby = {0},
pages = {15-38},
booktitle = {Medical Image Segmentation Foundation Models. CVPR 2024 Challenge: Segment Anything in Medical Images on Laptop - MedSAM on Laptop 2024, Held in Conjunction with CVPR 2024, Seattle, WA, USA, June 17-21, 2024, Proceedings},
editor = {Jun Ma 0016 and Yuyin Zhou and Bo Wang},
volume = {15458},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-81854-7},
}