Automated Segmentation of Infarct Core in Non-Contrast CT Scans of Ischemic Stroke Patients

U Akhil, V Menon, V Nambiar… - 2023 7th International …, 2023 - ieeexplore.ieee.org
Ischemic stroke is a crippling disorder that affects many people globally, and timely detection
and prognosis are vital for efficient treatment. Despite the increasing use of Computed …

Optimizing Ischemic Stroke Diagnosis: Enhanced Performance with MobileNetV2 in Automated Image Segmentation

KD Priya, B Jahnavi, P Savithri - International Conference on …, 2024 - atlantis-press.com
Early identification of ischemic stroke leads to a speedy recovery from severe repercussions
and irreversible brain damage. Stroke affects people differently, with varying experiences …

Ischemic stroke lesion prediction in ct perfusion scans using multiple parallel u-nets following by a pixel-level classifier

M Soltanpour, R Greiner, P Boulanger… - 2019 IEEE 19th …, 2019 - ieeexplore.ieee.org
It is critical to know what brain regions are affected by an ischemic stroke, as this enables
doctors to make more effective decisions about stroke patient therapy. These regions are …

An attentional unet with an auxiliary class learning to support acute ischemic stroke segmentation on CT

S Gómez, S Florez, D Mantilla… - Medical Imaging …, 2023 - spiedigitallibrary.org
Computed tomography (CT) is the first-line imaging modality for evaluation of patients
suspected of stroke. Specially, such modality is key as screening test between ischemia and …

Comparative Study on Stroke Lesion Core Segmentation in CTP Images

A Esawy, S Fawzi, M Elattar - 2021 Tenth International …, 2021 - ieeexplore.ieee.org
Automatic segmentation of ischemic stroke using Computed Tomography Perfusion (CTP)
images becomes an essential tool for quantification of the extension of stroke in early stages …

Modified U-net with Different Attention Mechanisms for Acute Ischemic Stroke Segmentation using Non-Contrast CT

S Pnev, A Tulupov, V Berikov - 2021 Ural Symposium on …, 2021 - ieeexplore.ieee.org
The instant diagnosis of acute ischemic stroke using non-contrast computed tomography
brain scans is important for right decision upon a treatment. Artificial intelligence and deep …

Pool-UNet: Ischemic Stroke Segmentation from CT Perfusion Scans Using Poolformer UNet

R Liu, W Pu, Y Zou, L Jiang, Z Ye - 2022 6th Asian Conference …, 2022 - ieeexplore.ieee.org
Ischemic strokes are the most common acute brain disorder, and seriously threaten patients'
lives. In order to help physicians determine the location of ischemic stroke lesions and other …

A Quantitative Analysis in CTP images for Ischemic Stroke Lesion Segmentation

A Esawy, S Fawzi, M Elattar - 2021 17th International Computer …, 2021 - ieeexplore.ieee.org
Due to the limitations of MR imaging availability, CT perfusion (CTP) has been used to
determine the extension of stroke in early stages. But CT perfusion maps alone are not …

Hyperparameter-optimized Cross Patch Attention (CPAM) UNET for accurate ischemia and hemorrhage segmentation in CT images

AF Kamanli - Signal, Image and Video Processing, 2024 - Springer
Stroke represents a critical medical condition with the potential for substantial brain damage
and severe complications. Timely identification of stroke is imperative to minimize harm and …

A lightweight asymmetric U-Net framework for acute ischemic stroke lesion segmentation in CT and CTP images

A Kumar, P Ghosal, SS Kundu, A Mukherjee… - Computer Methods and …, 2022 - Elsevier
Background and objectives: This paper has introduced a patch-based, residual, asymmetric,
encoder-decoder CNN that solves two major problems in acute ischemic stroke lesion …