arXiv (Cornell University)
Adversarially Trained Convolutional Neural Networks for Semantic\n Segmentation of Ischaemic Stroke Lesion using Multisequence Magnetic\n Resonance Imaging
August 2019 • Rachana Sathish, Ronnie Rajan, Anusha Vupputuri, Nirmalya Ghosh, Debdoot Sheet
Ischaemic stroke is a medical condition caused by occlusion of blood supply\nto the brain tissue thus forming a lesion. A lesion is zoned into a core\nassociated with irreversible necrosis typically located at the center of the\nlesion, while reversible hypoxic changes in the outer regions of the lesion are\ntermed as the penumbra. Early estimation of core and penumbra in ischaemic\nstroke is crucial for timely intervention with thrombolytic therapy to reverse\nthe damage and restore normalcy. Multisequence magnet…