most citedAcute ischemic stroke lesion segmentation in non-contrast CT images using 3D convolutional neural networks

16 citations · 17 across the 2 of their papers we have counts for

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2 papers

eess.IV2023★ 16 cited

Acute ischemic stroke lesion segmentation in non-contrast CT images using 3D convolutional neural networks

A. V. Dobshik, S. K. Verbitskiy, I. A. Pestunov +4

In this paper, an automatic algorithm aimed at volumetric segmentation of acute ischemic stroke lesion in non-contrast computed tomography brain 3D images is proposed. Our deep-lea…

eess.IV2021★ 1 cited

Weakly supervised semantic segmentation of tomographic images in the diagnosis of stroke

Anna Dobshik, Andrey Tulupov, Vladimir Berikov

This paper presents an automatic algorithm for the segmentation of areas affected by an acute stroke on the non-contrast computed tomography brain images. The proposed algorithm is…