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  Indian J Med Microbiol
 

Figure 3: Feature analysis of mouse prostatic intraepithelial neoplasia lesions. (a) Separation of individual lesions (red dots, n = 72) according to principal component analysis and the relative weights of features (blue lines). The values for each lesion are calculated across all region of interests of that particular lesion. (b) Scatter plot of mouse prostatic intraepithelial neoplasia lesions with average solidity and sum of the area across lesion (i.e., the sum of areas of all lesion region of interests in all sections in z). (c) Examples of the type of lesion region of interest masks representing the morphological groups separated by lesion solidity and size (e.g., lesion area or volume). Colors in (b) indicate the same lesions of which an individual region of interest mask is shown in (c). Region masks in (c) are in the same scale

Figure 3: Feature analysis of mouse prostatic intraepithelial neoplasia lesions. (a) Separation of individual lesions (red dots, <i>n</i> = 72) according to principal component analysis and the relative weights of features (blue lines). The values for each lesion are calculated across all region of interests of that particular lesion. (b) Scatter plot of mouse prostatic intraepithelial neoplasia lesions with average solidity and sum of the area across lesion (i.e., the sum of areas of all lesion region of interests in all sections in z). (c) Examples of the type of lesion region of interest masks representing the morphological groups separated by lesion solidity and size (e.g., lesion area or volume). Colors in (b) indicate the same lesions of which an individual region of interest mask is shown in (c). Region masks in (c) are in the same scale