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Article

Automatic segmentation of kidneys in computed tomography images using U-Net

D.M. Khalal ; H. Azizi ; N. Maalej |

Dans Cancer/Radiothérapie (Vol. 27, n° 2, Avril 2023)

Purpose : Accurate segmentation of target volumes and organs at risk from computed tomography (CT) images is essential for treatment planning in radiation therapy. The segmentation task is often done manually making it time-consuming. Besides, i[...]

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Article

Automatic segmentation of thoracic CT images using three deep learning models

D.M. Khalal ; A. Behouch ; H. Azizi ; N. Maalej |

Dans Cancer/Radiothérapie (vol. 26, no. 8, Novembre 2022)

Purpose Deep learning (DL) techniques are widely used in medical imaging and in particular for segmentation. Indeed, manual segmentation of organs at risk (OARs) is time-consuming and suffers from inter- and intra-observer segmentation variabili[...]

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