Table 1 Features extracted during our analysis of images and corresponding descriptions
Feature Type | Feature Name | Description |
|---|---|---|
Shape | Nucleus/Cytoplasm Area | This quantifies the number of pixels that make up the segmented image of the nucleus and cytoplasm |
Nucleus/Cytoplasm Ratio | This ratio provides insights into the relative sizes of the nucleus and cytoplasm, calculated as Nucleus Area divided by the sum of Nucleus Area and Cytoplasm Area | |
Nucleus/Cytoplasmic Perimeter | It measures the length of the perimeter around the object, offering information about its shape and boundaries | |
Nucleus/Cytoplasm Roundness | This metric gauge the roundness of the object by comparing its actual area to the area inside a circle defined by its longest diameter | |
Nucleus/Cytoplasm Shortest Diameter | This represents the largest diameter a circle can have while being completely inscribed within the object | |
Nucleus/Cytoplasm Longest Diameter | This signifies the shortest diameter a circle can have while fully circumscribing the object | |
Nucleus/Cytoplasm Elongation | Elongation is determined by the ratio between the shortest and longest diameters of the object, providing insights into its elongated or compact nature | |
Nucleus Position | This feature assesses how centrally the nucleus is positioned within the cytoplasm, offering information on the object's spatial distribution | |
Texture | Contrast | It quantifies the local variations in pixel intensity within the image. High contrast values indicate significant variations |
Correlation | This feature measures the likelihood of specific pixel pairs occurring, providing insights into the pixel relationship | |
Energy | Energy is a statistical measure of the image's randomness or entropy, indicating the complexity of pixel patterns | |
Homogeneity | Homogeneity assesses the similarity of pixel intensities across the image, offering insights into the uniformity of texture |