Oda et al., 2011 - Google Patents
Organ segmentation from 3D abdominal CT images based on atlas selection and graph cutOda et al., 2011
View PDF- Document ID
- 9005702783050809320
- Author
- Oda M
- Nakaoka T
- Kitasaka T
- Furukawa K
- Misawa K
- Fujiwara M
- Mori K
- Publication year
- Publication venue
- International MICCAI Workshop on Computational and Clinical Challenges in Abdominal Imaging
External Links
Snippet
This paper presents a method for segmenting abdominal organs from 3D abdominal CT images based on atlas selection and graph cut. The training samples are divided into multiple clusters based on the image similarity. The average image and atlas for each …
- 210000000056 organ 0 title abstract description 40
Classifications
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- G06T2207/10072—Tomographic images
- G06T2207/10088—Magnetic resonance imaging [MRI]
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- G06T2207/10104—Positron emission tomography [PET]
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- G06T2207/30004—Biomedical image processing
- G06T2207/30048—Heart; Cardiac
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- G06T2207/20101—Interactive definition of point of interest, landmark or seed
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- G06T2207/00—Indexing scheme for image analysis or image enhancement
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- G06T2207/20112—Image segmentation details
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- G06T2207/10024—Color image
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- G—PHYSICS
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- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
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- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
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