Fig. 6: Health grading of embryos.
From: EVATOM: an optical, label-free, machine learning assisted embryo health assessment tool
a LS-GLIM composite images from common test set of fixed embryos, b Model predictions on test embryos in (a). c Time-lapse LS-GLIM composite images from common test set of live embryos, d Model predictions on test embryo in (c). e LS-GLIM composite images from common test set of live embryos showing two different embryos, f Model predictions on test embryos in (e). Red entries in (b), (d), and (f) represent wrong predictions. Colorbars show phase distribution (ϕ) in radians. Scalebar is shown as a white rectangle in the lower right corner of each row of images and denotes 20 µm for all images. GT: ground truth class, ED: real class assigned by experts, IBM: image-based classification model, FBM: feature-based classification model. H/I: healthy or intermediate class, S: sick class. cp: average prediction score over majority predictions, % denotes percentage of majority predictions (z-slices for IBM and nuclei for FBM). D1, D2: Days of time-lapse followed by timestamps of acquisition. Red dotted box encloses data from fixed embryos while blue dotted box encloses data from live embryos.
