2012
DOI: 10.1155/2012/243416
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Digital Image Analysis in Pathology: Benefits and Obligation

Abstract: Abstract. Pathology has recently entered the era of personalized medicine. This brings new expectations for the accuracy and precision of tissue-based diagnosis, in particular, when quantification of histologic features and biomarker expression is required. While for many years traditional pathologic diagnosis has been regarded as ground truth, this concept is no longer sufficient in contemporary tissue-based biomarker research and clinical use. Another major change in pathology is brought by the advancement o… Show more

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Cited by 70 publications
(53 citation statements)
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“…Computational analysis of medical images by use of texture algorithms has emerged as a structure analysis tool to complement the molecular approaches in detection, diagnosis and prognosis of cancer (Dunn et al 2011;Laurinavicius et al 2012;Angell et al 2013;Laurinavicius et al 2014). Diagnostic and prognostic value of texture analysis has been experimentally established for mammographs (Mohd Khuzi et al 2009), breast ultrasound (Gomez et al 2012), and breast magnetic resonance images (Holli et al 2010).…”
Section: Introductionmentioning
confidence: 99%
“…Computational analysis of medical images by use of texture algorithms has emerged as a structure analysis tool to complement the molecular approaches in detection, diagnosis and prognosis of cancer (Dunn et al 2011;Laurinavicius et al 2012;Angell et al 2013;Laurinavicius et al 2014). Diagnostic and prognostic value of texture analysis has been experimentally established for mammographs (Mohd Khuzi et al 2009), breast ultrasound (Gomez et al 2012), and breast magnetic resonance images (Holli et al 2010).…”
Section: Introductionmentioning
confidence: 99%
“…Digital technology and in particular scanning systems for virtual preparations (slides) are widely used in medical practice [2][3][4][5][6]. The use of modern digital technologies in diagnosis of prostate diseases will help to improve the accuracy of diagnosis.…”
Section: Decision Support System In the Diagnosis Of Urological Maligmentioning
confidence: 99%
“…Enfin, la visualisation peut être faite en se connectant à une application web avec un navigateur internet usuel. Il y a trois priorités pour les logiciels de visualisation : la qualité des images, la rapidité de leur affichage [4] Enfin, ces fonctionnalités peuvent être complétées par des logiciels d'aide au diagnostic grâce à des outils d'analyse d'image [9,10], tels que le comptage automatique des noyaux de cellules présents sur la lame ou la mesure des surfaces de tissus.…”
Section: La Visualisation Principes Générauxunclassified