SAMJ: Fast Image Annotation on ImageJ/Fiji via Segment Anything Model
SAMJ: Fast Image Annotation on ImageJ/Fiji via Segment Anything Model
Mask annotation remains a significant bottleneck in AI-driven biomedical image analysis due to its labor-intensive nature. To address this challenge, we introduce SAMJ, a user-friendly ImageJ/Fiji plugin leveraging the Segment Anything Model (SAM). SAMJ enables seamless, interactive annotations with one-click installation on standard computers. Designed for real-time object delineation in large scientific images, SAMJ is an easy-to-use solution that simplifies and accelerates the creation of labeled image datasets.
Carlos Garcia-Lopez-de-Haro、Caterina Fuster-Barcelo、Curtis T. Rueden、Jonathan Heras、Vladimir Ulman、Daniel Franco-Barranco、Adrian Ines、Kevin W. Eliceiri、Jean-Christophe Olivo-Marin、Jean-Yves Tinevez、Daniel Sage、Arrate Munoz-Barrutia
医学研究方法生物科学研究方法、生物科学研究技术
Carlos Garcia-Lopez-de-Haro,Caterina Fuster-Barcelo,Curtis T. Rueden,Jonathan Heras,Vladimir Ulman,Daniel Franco-Barranco,Adrian Ines,Kevin W. Eliceiri,Jean-Christophe Olivo-Marin,Jean-Yves Tinevez,Daniel Sage,Arrate Munoz-Barrutia.SAMJ: Fast Image Annotation on ImageJ/Fiji via Segment Anything Model[EB/OL].(2025-06-03)[2025-06-22].https://arxiv.org/abs/2506.02783.点此复制
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