Identifying multiple abdominal organs from CT image series using a multimodule contextual neural network and spatial fuzzy rules.

Identifying multiple abdominal organs from CT image series using a multimodule contextual neural network and spatial fuzzy rules.

Identifying abdominal organs is one of the essential steps in visualizing organ structure to assist in teaching, clinical training, diagnosis, and medical image retrieval. However, due to partial volume effects, gray-level similarities of adjacent organs, contrast media affect, and the relatively hi...

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書目詳細資料
發表在:IEEE Transactions on information technology in biomedicine 7, 3 (2003).
主要作者: Chien-Cheng Lee
格式: Article
語言:English
主題:
CT image series.
Clinical training.
Contour modification scheme.
Divide-and-conquer.
Fuzzy descriptors.
Image segmentation.
Medical image retrieval.
Multimodule contextual neural network.
Multiple abdominal organ identification.
Spatial fuzzy rules.
Teaching.