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Table 1 Summary of histomorphometric features extracted from TMA

From: Nuclear shape, architecture and orientation features from H&E images are able to predict recurrence in node-negative gastric adenocarcinoma

Feature type

No.

Description

Nuclear shape

100

Area ratio, distance ratio, SD of distance, distance ratio, perimeter ratio, variance of distance, fractal dimension, smoothness, invariant moment 1–7, Fourier descriptor 1–10: min/max, mean, SD, median

Nuclear texture

30

Contrast, energy, entropy, inverse variance, invariant moment: mean, SD from each channel

Nuclear orientation map

39

Contrast energy, contrast inverse moment, contrast average, contrast variance, contrast entropy, intensity average, intensity variance, intensity entropy, entropy, energy, correlation, information measure 1, information measure 2: mean, SD, range

VD

12

Perimeter, chord, area: SD, min/max, disorder, average

DT

8

Side length, triangle area: min/max, mean, standard deviation, median, disorder

In total

189

 
  1. SD standard deviation, VD Voronoi diagram, DT Delaunay triangulation