DAFT: Data-Aware Fine-Tuning of Foundation Models for Efficient and Effective Medical Image Segmentation

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]

Abstract

Abstract is missing.