Research graph
References from Segment Anything Model 2: An Application to 2D and 3D Medical Images. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1038/s41598-024-54048-2
10.1038/s41598-024-54048-2 · External reference
Medical image segmentation: A review
2013 · External reference
10.4108/eai.12-4-2021.169184
10.4108/eai.12-4-2021.169184 · External reference
10.1016/j.eswa.2024.123795
10.1016/j.eswa.2024.123795 · External reference
QUBIQ: Uncertainty quantification for biomedical image segmentation challenge
2024 · External reference
10.1016/j.media.2023.102918
10.1016/j.media.2023.102918 · External reference
10.1109/cybermatics_2018.2018.00042
10.1109/cybermatics_2018.2018.00042 · External reference
10.1109/iccv51070.2023.00371
10.1109/iccv51070.2023.00371 · External reference
10.1186/s12880-024-01401-6
10.1186/s12880-024-01401-6 · External reference
10.1016/j.media.2025.103469
10.1016/j.media.2025.103469 · External reference
10.1609/aaai.v37i11.26505
10.1609/aaai.v37i11.26505 · External reference
10.1117/12.3006809
10.1117/12.3006809 · External reference
10.1109/tnnls.2025.3611322
10.1109/tnnls.2025.3611322 · External reference
10.1038/s41467-024-44824-z
10.1038/s41467-024-44824-z · External reference
10.1038/s41592-020-01008-z · Admitted local publication
SAM 2: Segment anything in images and videos
2025 · External reference
10.1109/isbi56570.2024.10635844
10.1109/isbi56570.2024.10635844 · External reference
10.1016/j.media.2024.103324
10.1016/j.media.2024.103324 · External reference
10.1109/tnnls.2025.3586694
10.1109/tnnls.2025.3586694 · External reference
10.3978/j.issn.2223-4292.2014.11.20
10.3978/j.issn.2223-4292.2014.11.20 · External reference
X-ray images of the hip joints
2021 · External reference
10.1016/j.dib.2019.104863
10.1016/j.dib.2019.104863 · External reference
10.1016/j.ultras.2022.106706
10.1016/j.ultras.2022.106706 · External reference
10.1016/j.compbiomed.2021.104623
10.1016/j.compbiomed.2021.104623 · External reference
10.1016/j.patcog.2025.112311
10.1016/j.patcog.2025.112311 · External reference
10.1016/j.neuroimage.2017.03.010
10.1016/j.neuroimage.2017.03.010 · External reference
A large annotated medical image dataset for the development and evaluation of segmentation algorithms
2019 · External reference
10.1016/j.compbiomed.2015.02.009
10.1016/j.compbiomed.2015.02.009 · External reference
10.1109/tmi.2014.2377694
10.1109/tmi.2014.2377694 · External reference
10.1038/s41416-018-0185-8
10.1038/s41416-018-0185-8 · External reference
Fully automated deep learning method for fibroglandular tissue segmentation in breast MRI
10.21203/rs.3.rs-1606703/v1 · 2022 · External reference
10.1016/j.media.2022.102680
10.1016/j.media.2022.102680 · External reference
10.1038/s41597-020-00715-8
10.1038/s41597-020-00715-8 · External reference
10.1038/s41597-022-01718-3
10.1038/s41597-022-01718-3 · External reference
10.1038/s41597-024-03193-4
10.1038/s41597-024-03193-4 · External reference
10.1016/j.compmedimag.2015.02.007
10.1016/j.compmedimag.2015.02.007 · External reference
10.1109/tmi.2019.2900516
10.1109/tmi.2019.2900516 · External reference
10.1109/iccv48922.2021.01060
10.1109/iccv48922.2021.01060 · External reference
The 2017 davis challenge on video object segmentation
2017 · External reference
10.59275/j.melba.2025-86a6
10.59275/j.melba.2025-86a6 · External reference
10.1109/cvpr52733.2024.00304
10.1109/cvpr52733.2024.00304 · External reference
10.1186/s12880-022-00825-2
10.1186/s12880-022-00825-2 · External reference
