The implementation of knowledge-guided control of the processing and segmentation of histopathologic images of prostatic lesions has made automated analysis and interpretation possible. To establish correspondence between histopathologic concepts, terms and diagnostic criteria, and computed histometric entities, "interpretive transforms" are introduced. Scene segmentation is controlled by an expert system following a model-based reasoning process. The expert system is structured as an associative network with frames at each node, which controls a knowledge file and a large library of image processing algorithms.
Machine Vision-based Histometry of Premalignant and Malignant Prostatic Lesions / Bartels, P. H.; Thompson, D.; Bartels, H. G.; Montironi, Rodolfo; Scarpelli, Marina; Hamilton, P. W.. - In: PATHOLOGY RESEARCH AND PRACTICE. - ISSN 0344-0338. - 191(9):(1995), pp. 935-944.
Machine Vision-based Histometry of Premalignant and Malignant Prostatic Lesions.
MONTIRONI, RODOLFO;SCARPELLI, Marina;
1995-01-01
Abstract
The implementation of knowledge-guided control of the processing and segmentation of histopathologic images of prostatic lesions has made automated analysis and interpretation possible. To establish correspondence between histopathologic concepts, terms and diagnostic criteria, and computed histometric entities, "interpretive transforms" are introduced. Scene segmentation is controlled by an expert system following a model-based reasoning process. The expert system is structured as an associative network with frames at each node, which controls a knowledge file and a large library of image processing algorithms.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
