Precise individual muscle segmentation in whole thigh CT scans for sarcopenia assessment using U-net transformer
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Precise individual muscle segmentation in whole thigh CT scans for sarcopenia assessment using U-net transformer ; volume:14 ; number:1 ; day:8 ; month:2 ; year:2024 ; pages:1-11 ; date:12.2024
Scientific reports ; 14, Heft 1 (8.2.2024), 1-11, 12.2024
- Urheber
-
Kim, Hyeon Su
Kim, Hyunbin
Kim, Shinjune
Cha, Yonghan
Kim, Jung-Taek
Kim, Jin-Woo
Ha, Yong-Chan
Yoo, Jun-Il
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-024-53707-8
- URN
-
urn:nbn:de:101:1-2404170729121.730565658857
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
2025-08-14T10:45:01+0200
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Kim, Hyeon Su
- Kim, Hyunbin
- Kim, Shinjune
- Cha, Yonghan
- Kim, Jung-Taek
- Kim, Jin-Woo
- Ha, Yong-Chan
- Yoo, Jun-Il
- SpringerLink (Online service)
Ähnliche Objekte (12)
Brain Tumor Segmentation from 3D MRI Scans Using U-Net
EG-TransUNet: a transformer-based U-Net with enhanced and guided models for biomedical image segmentation
Joint specular highlight detection and removal in single images via Unet-Transformer
UNet-like network fused swin transformer and CNN for semantic image synthesis
An experimental study of U-net variants on liver segmentation from CT scans
Sinensetin regulates age-related sarcopenia in cultured primary thigh and calf muscle cells
TCDDU-Net: combining transformer and convolutional dual-path decoding U-Net for retinal vessel segmentation
Sub-convolutional U-Net with transformer attention network for end-to-end single-channel speech enhancement
Mitä unet paljastavat
Hugenotten-Akten, Unet - Uzès
CellSegUNet: an improved deep segmentation model for the cell segmentation based on UNet++ and residual UNet models
Evaluation of muscle quality and quantity for the assessment of sarcopenia using mid-thigh computed tomography: a cohort study
Brain Tumor Segmentation from 3D MRI Scans Using U-Net
EG-TransUNet: a transformer-based U-Net with enhanced and guided models for biomedical image segmentation
Joint specular highlight detection and removal in single images via Unet-Transformer
UNet-like network fused swin transformer and CNN for semantic image synthesis
An experimental study of U-net variants on liver segmentation from CT scans
Sinensetin regulates age-related sarcopenia in cultured primary thigh and calf muscle cells
TCDDU-Net: combining transformer and convolutional dual-path decoding U-Net for retinal vessel segmentation
Sub-convolutional U-Net with transformer attention network for end-to-end single-channel speech enhancement
Mitä unet paljastavat
Hugenotten-Akten, Unet - Uzès
CellSegUNet: an improved deep segmentation model for the cell segmentation based on UNet++ and residual UNet models
Evaluation of muscle quality and quantity for the assessment of sarcopenia using mid-thigh computed tomography: a cohort study
Brain Tumor Segmentation from 3D MRI Scans Using U-Net
EG-TransUNet: a transformer-based U-Net with enhanced and guided models for biomedical image segmentation
Joint specular highlight detection and removal in single images via Unet-Transformer
UNet-like network fused swin transformer and CNN for semantic image synthesis
An experimental study of U-net variants on liver segmentation from CT scans
Sinensetin regulates age-related sarcopenia in cultured primary thigh and calf muscle cells
TCDDU-Net: combining transformer and convolutional dual-path decoding U-Net for retinal vessel segmentation
Sub-convolutional U-Net with transformer attention network for end-to-end single-channel speech enhancement
Mitä unet paljastavat
Hugenotten-Akten, Unet - Uzès
CellSegUNet: an improved deep segmentation model for the cell segmentation based on UNet++ and residual UNet models