- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
-
Evaluating segment anything model (SAM) on MRI scans of brain tumors ; volume:14 ; number:1 ; day:17 ; month:9 ; year:2024 ; pages:1-16 ; date:12.2024
Scientific reports ; 14, Heft 1 (17.9.2024), 1-16, 12.2024
- Creator
-
Ali, Luqman
Alnajjar, Fady
Swavaf, Muhammad
Elharrouss, Omar
Abd-alrazaq, Alaa
Damseh, Rafat
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-024-72342-x
- URN
-
urn:nbn:de:101:1-2411302113209.632938946359
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:31 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Ali, Luqman
- Alnajjar, Fady
- Swavaf, Muhammad
- Elharrouss, Omar
- Abd-alrazaq, Alaa
- Damseh, Rafat
- SpringerLink (Online service)
Other Objects (12)
Segment anything in medical images
Segment Anything in Optical Coherence Tomography: SAM 2 for Volumetric Segmentation of Retinal Biomarkers
Correction to: Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications
An efficient segment anything model for the segmentation of medical images
IAMSAM: image-based analysis of molecular signatures using the Segment Anything Model
Anything goes
Anything goes
QUALITY ASSESSMENT FOR MULTI-RESOLUTION SEGMENTATION AND SEGMENT-ANYTHING MODEL USING WORLDVIEW-3 IMAGERY
Quantification of cardiac capillarization in basement-membrane-immunostained myocardial slices using Segment Anything Model
Industrial segment anything - A case study in aircraft manufacturing, intralogistics, maintenance, repair, and overhaul
A Comparative Performance Analysis of Popular Deep Learning Models and Segment Anything Model (SAM) for River Water Segmentation in Close-Range Remote Sensing Imagery
Ready for anything
Segment anything in medical images
Segment Anything in Optical Coherence Tomography: SAM 2 for Volumetric Segmentation of Retinal Biomarkers
Correction to: Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications
An efficient segment anything model for the segmentation of medical images
IAMSAM: image-based analysis of molecular signatures using the Segment Anything Model
Anything goes
Anything goes
QUALITY ASSESSMENT FOR MULTI-RESOLUTION SEGMENTATION AND SEGMENT-ANYTHING MODEL USING WORLDVIEW-3 IMAGERY
Quantification of cardiac capillarization in basement-membrane-immunostained myocardial slices using Segment Anything Model
Industrial segment anything - A case study in aircraft manufacturing, intralogistics, maintenance, repair, and overhaul
A Comparative Performance Analysis of Popular Deep Learning Models and Segment Anything Model (SAM) for River Water Segmentation in Close-Range Remote Sensing Imagery
Ready for anything
Segment anything in medical images
Segment Anything in Optical Coherence Tomography: SAM 2 for Volumetric Segmentation of Retinal Biomarkers
Correction to: Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications
An efficient segment anything model for the segmentation of medical images
IAMSAM: image-based analysis of molecular signatures using the Segment Anything Model
Anything goes
Anything goes
QUALITY ASSESSMENT FOR MULTI-RESOLUTION SEGMENTATION AND SEGMENT-ANYTHING MODEL USING WORLDVIEW-3 IMAGERY
Quantification of cardiac capillarization in basement-membrane-immunostained myocardial slices using Segment Anything Model
Industrial segment anything - A case study in aircraft manufacturing, intralogistics, maintenance, repair, and overhaul
A Comparative Performance Analysis of Popular Deep Learning Models and Segment Anything Model (SAM) for River Water Segmentation in Close-Range Remote Sensing Imagery