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In studying these early images, doctors found that they could distinguish malignant from benign tissue, even when cancer hadn't been suspected.
We automatically classify sample regions in human renal cancer tissue ex-vivo into tumor or benign tissue based on image features.
In malignant tumours, a higher percentage of microvessels is present than in benign tissue [124].
According to the results obtained, the expression of p-Akt and p27kip1 was increased in both the adjacent microscopically benign tissue as well as the primary tumors when compared with the histologically benign tissue specimens that served as biological control.
The adjacent but histologically benign tissue had increased levels (p < 0.05 and p < 0.01), whereas no significant difference was found between the adjacent and malignant regions.
p-Akt and p27kip1 showed increased staining in malignant tissue compared to the respective benign tissue (p < 0.01 and p < 0.05).
The Nearest Neighbour (NN) classifier was used in order to discriminate CaP from benign tissue.
The NN classifier was used in order to discriminate CaP from benign tissue.
This generated 46,000 and 49,000 positions for tumor and benign tissue, respectively, that were eligible for comparison.
Our proteomic data on prostate material showed differential expression of 79 proteins in cancer compared to benign tissue.
For paired analysis, copy number values were generated by comparing tumor and benign tissue profiles from the same patient.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com