Machine vision-based histometry of premalignant and malignant prostatic lesions

Pathology, Research and Practice
P H BartelsP W Hamilton

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.

References

Jun 1, 1992·Pathology, Research and Practice·P H BartelsJ E Weber
Jul 1, 1990·Human Pathology·J P Baak
Nov 1, 1989·Pathology, Research and Practice·P H BartelsR Shoemaker

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Citations

May 7, 2009·Applied Immunohistochemistry & Molecular Morphology : AIMM·Yahui PengXiming J Yang
Feb 10, 2011·BMC Cancer·Jin Tae KwakRohit Bhargava
Dec 13, 2005·American Journal of Pharmacogenomics : Genomics-related Research in Drug Development and Clinical Practice·John D ClearyRoy L Hawke
Jun 2, 2016·BMC Bioinformatics·Jin Tae KwakRohit Bhargava
Nov 19, 2015·PloS One·Pablo de GraciaJosé M Ramírez
Aug 19, 2011·Annals of Diagnostic Pathology·Farhat Rashid, Anwar Ul Haque
Jun 19, 2004·Pathology·F Joel W-M Leong, Anthony S Y Leong
Feb 28, 2003·Advances in Anatomic Pathology·F Joel W-M Leong, Anthony S-Y Leong
Mar 18, 2009·The Journal of Pathology·Peter W HamiltonAnthony G Gallagher
Dec 18, 2014·Applied Immunohistochemistry & Molecular Morphology : AIMM·Janine ArltOlaf Dirsch
Feb 6, 2007·Annals of Saudi Medicine·J T AnimM E Bhatti

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