1 code implementation • 4 Mar 2021 • Kibrom Berihu Girum, Gilles Créhange, Alain Lalande
Therefore, formulating image segmentation as a recurrent framework of two interconnected networks via context feedback loop can be a potential method for robust and efficient medical image analysis.
no code implementations • 30 Oct 2020 • Kibrom Berihu Girum, Youssef Skandarani, Raabid Hussain, Alexis Bozorg Grayeli, Gilles Créhange, Alain Lalande
The second network is used to segment the pathological areas such as myocardial infarction, myocardial no-reflow, and normal myocardial region.
no code implementations • 23 Oct 2019 • Kibrom Berihu Girum, Gilles Créhange, Raabid Hussain, Paul Michael Walker, Alain Lalande
We show that generative neural networkbased shape modeling trained on a reliable contrast imaging modality (such as MRI) can be directly applied to low contrast imaging modality (such as CT) to achieve accurate prostate segmentation.