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[PENDING] Anatomically Consistent CNN-Based Segmentation of Organs-at-Risk in Cranial Radiotherapy

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Academic year: 2024

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Figure 1: Segmentation of organs at risk in radiotherapy planning. Left: T1-weighted MRI acquired after injection of a gadolinium-based contrast agent
Figure 2: Architecture of our model. The rectangles represent layers and their height rep- rep-resents the sampling factor (increasing with max-poolings, decreasing with upsamplings).
Figure 3: Example of ’holes’ in the original output segmentation (left image) on a test example
Figure 4: Approximate position of the optic nerve landmarks (displayed on the same axial slice) found by the system on a test example
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