Agfa Healthcare Nv

Vrvis Zentrum Fur Virtual Reality Und Visualisierung Forschungs-gmbh

Agfa Healthcare

Vrvis Zentrum Fur Virtual Reality Und Visualisierung

Maria Wimmer

David Major

Katja Buehler

Alexey Novikov

Dimitrios Lenis

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 method for training an artificial neural network on an additional untrained segmentation task prevents the loss of previously acquired segmentation skills on originally trained segmentation tasks.

Avoiding catastrophic interference while training an artificial neural network on an additional task

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

A method and system for automatically detecting systemic arteries in arbitrary field-of-view computed tomography angiography (CTA) includes fully-automatically analyzing a medical image represented by a digital image representation.

Method for automatically detecting systemic arteries in arbitrary field-of-view computed tomography angiography (CTA)

A method, and an according apparatus and system, for analyzing medical images of blood vessels includes the steps of a) classifying a surrounding of at least one vessel represented in at least one medical image by applying a first classifier to the medical image such that the surrounding of the vessel is assigned to one of at least two surrounding classes, and b) segmentation of the at least one vessel dependent on the surrounding class to which the surrounding of the vessel has been assigned. The invention allows for a reliable segmentation and/or shape detection, in particular bifurcation detection, of blood vessels represented in medical images.

Growing community of inventors

Mortsel, Belgium

Maria Wimmer