Label-Efficient Multi-Task Segmentation using Contrastive Learning

Obtaining annotations for 3D medical images is expensive and time-consuming, despite its importance for automating segmentation tasks. Although multi-task learning is considered an effective method for training segmentation models using small amounts of annotated data, a systematic understanding of...

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Bibliographische Detailangaben

Hauptverfasser:	Iwasawa, Junichiro, Hirano, Yuichiro, Sugawara, Yohei
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition Quantitative Biology - Tissues and Organs
Online-Zugang:	Volltext bestellen
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