Ge Precision Healthcare LLC

Aimotive Kft.

Richárd Zsámboki

Florian Wiesinger

Tao Tan

Lehel Ferenczi

László Ruskó

Balázs Péter Cziria

Hongxiang Yi

Csaba Mate Jozsa

Daniel Szolgay

Szabolcs Vajna

Daniel Akos Kozma

Vanda Czipczer

Bernadett Kolozsvári

Fei Mian

Attila Márk Rádics

Methods and systems are provided for segmenting structures in medical images. In one embodiment, a method includes receiving an input dataset including a set of medical images, a structure list specifying a set of structures to be segmented, and a segmentation protocol, performing an input check on the input dataset, determining whether each medical image of the set of medical images has passed the input check and removing any medical images from the set of medical images that do not pass the input check to form a final set of medical images, segmenting each structure from the structure list using one or more segmentation models and the final set of medical images, receiving a set of segmentations output from the one or more segmentation models, processing the set of segmentations to generate a final set of segmentations, and displaying and/or saving in memory the final set of segmentations.

Systems and methods for segmenting objects in medical images

Methods, systems, and computer program products for lane detection. An image processing module is trained by machine learning, and used to generate correspondence mapping data based on an image pair of a first and second images. The correspondence mapping data defines correspondence between a first lane boundary group of the first image and a second lane boundary group of the second image. An image space data block of image space detection pairs is then generated based on the correspondence mapping data, and a three-dimensional lane detection data block generated using triangulation based on first and second parts of the image space data block corresponding to respective first and second members of the image space detection pairs.

Method and system for lane detection

Growing community of inventors

Budapest, Hungary

Richárd Zsámboki