MODEL-BASED RECOGNITION OF ANATOMICAL OBJECTS FROM MEDICAL IMAGES

Authors
ROBINSON GP COLCHESTER ACF GRIFFIN LD
Citation
Gp. Robinson et al., MODEL-BASED RECOGNITION OF ANATOMICAL OBJECTS FROM MEDICAL IMAGES, Image and vision computing, 12(8), 1994, pp. 499-507
Citations number
22
Categorie Soggetti
Computer Sciences, Special Topics",Optics,"Engineering, Eletrical & Electronic","Computer Science Artificial Intelligence","Computer Science Software Graphycs Programming","Computer Science Theory & Methods
Journal title
Image and vision computing → ACNP
ISSN journal
02628856
Volume
12
Issue
8
Year of publication
1994
Pages
499 - 507
Database
ISI
SICI code
0262-8856(1994)12:8<499:MROAOF>2.0.ZU;2-#
Abstract
We present both a high-level symbolic model of the human brain. and a method of using this model to aid in the recognition of objects from m edical images. The model is stored as a frame-based semantic network c onsisting of three coexisting graphs (a spatial adjacency graph, a par t hierarchy and an inheritance graph). We propose a method similar to assumption-based truth maintenance systems for the collating and reaso ning processes required in the labelling of input images.