Agfa Healthcare Nv

Vrvis Zentrum Fur Virtual Reality Und Visualisierung Forschungs-gmbh

Vrvis Zentrum Fur Virtual Reality Und Visualisierung

Agfa Healthcare

Dimitrios Lenis

David Major

Katja Buehler

Maria Wimmer

Alexey Novikov

Astrid Berg

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

Method of segmenting anatomical structures such as organs in 3D scans in an architecture that combines U-net, time-distributed convolutions and bidirectional convolutional LSTM.

Sequential segmentation of anatomical structures in 3D scans

A pipe-line method for multi-label segmentation of anatomic structures in a medical image using a convolutional neural network trained with a weighted loss function takes into account under&#x2014;representation of at least one anatomical structure in a ground-truth mask relative to other anatomical structures. Different architectures for the convolutional neural network are described.

Multi-class image segmentation method

Growing community of inventors

Mortsel, Belgium

Dimitrios Lenis