1997
DOI: 10.1002/(sici)1098-1098(1997)8:2<214::aid-ima8>3.0.co;2-d
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Automated microscopy in diagnostic histopathology: From image processing to automated reasoning

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Cited by 20 publications
(18 citation statements)
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“…The popular numerical features used to quantify and compare cells, such as form factor, Gabor and Haralick texture features, color histograms, etc. (3)(4)(5), usually do not have a direct biological interpretation. The situation is even more complicated when multiple features are needed simultaneously to characterize differences between cells, given that the physical interpretation of a combination of features with different units is a nontrivial task.…”
mentioning
confidence: 99%
“…The popular numerical features used to quantify and compare cells, such as form factor, Gabor and Haralick texture features, color histograms, etc. (3)(4)(5), usually do not have a direct biological interpretation. The situation is even more complicated when multiple features are needed simultaneously to characterize differences between cells, given that the physical interpretation of a combination of features with different units is a nontrivial task.…”
mentioning
confidence: 99%
“…Interestingly, some studies describe techniques approaching artificial intelligence, including ''digital knowledge,'' (15) ''automated reasoning,'' (16) and ''knowledge-based'' analysis of images (17). Recently, Baggett et al used special labeling of cellular surfaces to accurately detect cells (18).…”
mentioning
confidence: 99%
“…Here the mixture weight a m is estimated numerically with µ m and Σ m [17], [2]. The coefficients are found by iterating…”
Section: Results Prostate Cancer Tmas Were Obtained From Cytomyxmentioning
confidence: 99%
“…A prostate cancer diagnosis is typically established by histopathology using Hematoxylin and Eosin (H&E)-stained tissue sections [1], and pathologists use human pattern recognition to grade prostate cancer. Digital microscopy is becoming increasingly popular in pathology, and morphology from H&E slides obtained with image processing has been correlated with cancer [2], [3], [4]. Tissue microarrays (TMA) are used for high-throughput pathology research wherein multiple tissues are simultaneously processed to remove staining variability and to reduce labor.…”
Section: Introductionmentioning
confidence: 99%