Automatic segmentation of organs at risk in thoracic CT scans by combining 2D and 3D convolutional neural networks

Louis D. van Harten, Julia M.H. Noothout, Joost J.C. Verhoeff, Jelmer M. Wolterink, Ivana Išgum

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

1 Citation (Scopus)
324 Downloads (Pure)

Fingerprint

Dive into the research topics of 'Automatic segmentation of organs at risk in thoracic CT scans by combining 2D and 3D convolutional neural networks'. Together they form a unique fingerprint.

Engineering & Materials Science