SEGMENTING CT PROSTATE IMAGES USING POPULATION AND PATIENT-SPECIFIC STATISTICS FOR RADIOTHERAPY

This paper presents a new deformable model using both population and patient-specific statistics to segment the prostate from CT images. There are two novelties in the proposed method. First, a modified scale invariant feature transform (SIFT) local descriptor, which is more distinctive than general...

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Xehetasun bibliografikoak
Egile Nagusiak: Feng, Qianjin, Foskey, Mark, Tang, Songyuan, Chen, Wufan, Shen, Dinggang
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: 2009
Gaiak:
Article
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC3010726/
https://ncbi.nlm.nih.gov/pubmed/21197416
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ISBI.2009.5193039
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