most citedAnatomically Consistent Segmentation of Organs at Risk in MRI with Convolutional Neural Networks

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

eess.IV2019★ 2 cited

Anatomically Consistent Segmentation of Organs at Risk in MRI with Convolutional Neural Networks

Pawel Mlynarski, Hervé Delingette, Hamza Alghamdi +2

Planning of radiotherapy involves accurate segmentation of a large number of organs at risk, i.e. organs for which irradiation doses should be minimized to avoid important side eff…