par Bister, Michel;Cornelis, Jan 
;Taeymans, Yves ;Langloh, Niels
Référence Computers in cardiology, page (45-48)
Publication Publié, 1991-05
;Taeymans, Yves ;Langloh, NielsRéférence Computers in cardiology, page (45-48)
Publication Publié, 1991-05
Article révisé par les pairs
| Résumé : | M. Bister et al. (1989) developed an algorithm for the automatic segmentation of medical images: the cavity detector. A labeling scheme, the performance of which has been tested on cardiac magnetic resonance (MR) images, was designed based on this algorithm. The labeling scheme consists of three steps: the first step standardizes the image position, the second step checks the standardized image against spatial knowledge about the position of anatomical objects, and the third step generates a proposal for the labeling. The system is self-learning, and although it does not use typical AI tools, it makes use of some AI concepts such as trainability and separation between model and `reasoning engine'. The performance in terms of labeling quality and speed is discussed |
