Digital-pathology
Reference papers on digital pathology
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The proliferative activity of breast tumors, which is routinely estimated by counting of mitotic figures in hematoxylin and eosin stained histology sections, is considered to be one of the most important prognostic markers. However, mitosis counting is laborious, subjective and may suffer from low inter-observer agreement. With the wider acceptance of whole slide images in pathology labs, automatic image analysis has been proposed as a potential solution for these issues. In this paper, the results from the Assessment of Mitosis Detection Algorithms 2013 (AMIDA13) challenge are described. The challenge was based on a data set consisting of 12 training and 11 testing subjects, with more than one thousand annotated mitotic figures by multiple observers. Short descriptions and results from the evaluation of eleven methods are presented. The top performing method has an error rate that is comparable to the inter-observer agreement among pathologists.
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Tumor proliferation is an important biomarker indicative of the prognosi...
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Breast cancer is the most common invasive cancer in women, affecting mor...
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Manual counting of mitotic tumor cells in tissue sections constitutes on...
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This paper presents an algorithm which aims to assist the radiologist in...
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Evaluating expression of the Human epidermal growth factor receptor 2 (H...
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Colorectal adenocarcinoma originating in intestinal glandular structures...
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Individuals have an intuitive perception of what makes a good coincidenc...
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Reference papers on digital pathology
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