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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τόπος έκδοσης:IEEE Transactions on information technology in biomedicine 7, 3 (2003).
Κύριος συγγραφέας: Chien-Cheng Lee
Μορφή: Άρθρο
Γλώσσα:English
Θέματα:
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.