Deep Learning Model Provides Rapid Detection of Stroke-causing Blockages (IMAGE)

Radiological Society of North America

Deep Learning Model Provides Rapid Detection of Stroke-causing Blockages

Caption

Images show four separate patients with large vessel occlusions correctly predicted by the algorithm. The top row shows a representative CT slice from the delayed venous phase CT angiography. The middle row shows the preprocessed maximum intensity projection images that function as the input to the model. The bottom row are overlaid heat maps, with areas in red showing the most discriminative regions. Notice these so-called hot regions correlate with the occlusion location (respectively: left [L] M2, L M1, right [R] M2, basilar) in each patient.

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Radiological Society of North America

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