Unified wavelet and gaussian filtering for segmentation of CT images; application in segmentation of bone in pelvic CT images
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1472-6947
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Unified wavelet and gaussian filtering for segmentation of CT images; application in segmentation of bone in pelvic CT images ; volume:9 ; number:1 ; day:3 ; month:11 ; year:2009 ; pages:1-8 ; date:12.2009
BMC medical informatics and decision making ; 9, Heft 1 (3.11.2009), 1-8, 12.2009
- Urheber
-
Vasilache, Simina
- Beteiligte Personen und Organisationen
-
Ward, Kevin
Cockrell, Charles
Ha, Jonathan
Najarian, Kayvan
SpringerLink (Online service)
- DOI
-
10.1186/1472-6947-9-S1-S8
- URN
-
urn:nbn:de:1111-2016072933643
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:46 MESZ
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
- Vasilache, Simina
- Ward, Kevin
- Cockrell, Charles
- Ha, Jonathan
- Najarian, Kayvan
- SpringerLink (Online service)
Ähnliche Objekte (12)
Whale Optimization for Wavelet-Based Unsupervised Medical Image Segmentation: Application to CT and MR Images
Automatic Skeleton Segmentation in CT Images Based on U-Net
Metal implant segmentation in CT images based on diffusion model
Segmentation of liver CT images based on weighted medical transformer model
Tumor segmentation via enhanced area growth algorithm for lung CT images
LESION DETECTION IN CT IMAGES USING DEEP LEARNING SEMANTIC SEGMENTATION TECHNIQUE
Model-Based Pancreas Segmentation in Portal Venous Phase Contrast-Enhanced CT Images
Automated segmentation of insect anatomy from micro‐CT images using deep learning
Pancreatic cancer detection through semantic segmentation of CT images: a short review
SEGMENTATION OF POLARIMETRIC SAR IMAGES USIG WAVELET TRANSFORMATION AND TEXTURE FEATURES
Automated ventricular systems segmentation in brain CT images by combining low-level segmentation and high-level template matching
Automatic segmentation of ameloblastoma on ct images using deep learning with limited data
Whale Optimization for Wavelet-Based Unsupervised Medical Image Segmentation: Application to CT and MR Images
Automatic Skeleton Segmentation in CT Images Based on U-Net
Metal implant segmentation in CT images based on diffusion model
Segmentation of liver CT images based on weighted medical transformer model
Tumor segmentation via enhanced area growth algorithm for lung CT images
LESION DETECTION IN CT IMAGES USING DEEP LEARNING SEMANTIC SEGMENTATION TECHNIQUE
Model-Based Pancreas Segmentation in Portal Venous Phase Contrast-Enhanced CT Images
Automated segmentation of insect anatomy from micro‐CT images using deep learning
Pancreatic cancer detection through semantic segmentation of CT images: a short review
SEGMENTATION OF POLARIMETRIC SAR IMAGES USIG WAVELET TRANSFORMATION AND TEXTURE FEATURES
Automated ventricular systems segmentation in brain CT images by combining low-level segmentation and high-level template matching
Automatic segmentation of ameloblastoma on ct images using deep learning with limited data
Whale Optimization for Wavelet-Based Unsupervised Medical Image Segmentation: Application to CT and MR Images
Automatic Skeleton Segmentation in CT Images Based on U-Net
Metal implant segmentation in CT images based on diffusion model
Segmentation of liver CT images based on weighted medical transformer model
Tumor segmentation via enhanced area growth algorithm for lung CT images
LESION DETECTION IN CT IMAGES USING DEEP LEARNING SEMANTIC SEGMENTATION TECHNIQUE
Model-Based Pancreas Segmentation in Portal Venous Phase Contrast-Enhanced CT Images
Automated segmentation of insect anatomy from micro‐CT images using deep learning
Pancreatic cancer detection through semantic segmentation of CT images: a short review
SEGMENTATION OF POLARIMETRIC SAR IMAGES USIG WAVELET TRANSFORMATION AND TEXTURE FEATURES
Automated ventricular systems segmentation in brain CT images by combining low-level segmentation and high-level template matching