Agfa Nv

Agfa Healthcare Nv

Vrvis Zentrum Fur Virtual Reality Und Visualisierung Forschungs-gmbh

Vrvis Zentrum Füvirtual Reality Und Visualisierung Forschungs—gmbh

Astrid Berg

Katja Buehler

David Major

Maria Wimmer

Dimitrios Lenis

Eva Vandersmissen

Gert Sluiter

A method for finding image regions that significantly influence classification in a tool for pathology classification in a medical image wherein image regions that influence classification are inpainted, by replacing the pixels in these regions by representations of heathy tissue, resulting in an image with a healthy classification-score in the classification tool.

Method for finding image regions that significantly influence classification in a tool for pathology classification in a medical image

A method of augmenting the number of labeled images for training a neural network comprising the steps of—Starting from a dataset of labeled images with corresponding segmentation masks and a dataset of unlabeled images, gathering for a given image i in a data set of labeled images a number of images with similar metadata in said dataset of unlabeled images so as to form data sub-set Sim i,—Training a multiclass segmentation neural network on said labeled images thereby generating segmentation masks for the images in subset Sim i,—On the basis of these segmentation masks judging similarity between images of Sim i and image i and finding the most similar image(s) in Sim i by computing and comparing histograms of segmentation masks of image i and images in Sim i—Transferring the histogram of the most similar images in Sim i to given image i.

Method of augmenting the number of labeled images for training a neural network

Growing community of inventors

Mortsel, Belgium

Astrid Berg