Ischemic Stroke Lesion Segmentation

6 papers with code • 0 benchmarks • 0 datasets

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Latest papers with no code

Input Data Adaptive Learning (IDAL) for Sub-acute Ischemic Stroke Lesion Segmentation

no code yet • 12 Mar 2024

In machine learning larger databases are usually associated with higher classification accuracy due to better generalization.

Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on MRI

no code yet • 12 Jan 2024

Data augmentation techniques can compensate for a lack of training samples.

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

no code yet • 17 Jan 2023

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.

Automated ischemic stroke lesion segmentation from 3D MRI

no code yet • 20 Sep 2022

Ischemic Stroke Lesion Segmentation challenge (ISLES 2022) offers a platform for researchers to compare their solutions to 3D segmentation of ischemic stroke regions from 3D MRIs.

Class Balanced PixelNet for Neurological Image Segmentation

no code yet • 23 Apr 2022

We deal with this problem by selecting an equal number of pixels for all the classes in sampling time.

Ischemic Stroke Lesion Segmentation Using Adversarial Learning

no code yet • 11 Apr 2022

Training a segmentation network along with an adversarial network can detect and correct higher order inconsistencies between the segmentation maps produced by ground-truth and the Segmentor.

Automatic Ischemic Stroke Lesion Segmentation from Computed Tomography Perfusion Images by Image Synthesis and Attention-Based Deep Neural Networks

no code yet • 7 Jul 2020

Experimental results showed that our framework achieved the top performance on ISLES 2018 challenge and: 1) our method using synthesized pseudo DWI outperformed methods segmenting the lesion from perfusion parameter maps directly; 2) the feature extractor exploiting additional spatiotemporal CTA images led to better synthesized pseudo DWI quality and higher segmentation accuracy; and 3) the proposed loss functions and network structure improved the pseudo DWI synthesis and lesion segmentation performance.

Automatic acute ischemic stroke lesion segmentation using semi-supervised learning

no code yet • 10 Aug 2019

By using a large number of weakly labeled subjects and a small number of fully labeled subjects, our proposed method is able to accurately detect and segment the AIS lesions.

Exploiting bilateral symmetry in brain lesion segmentation

no code yet • 18 Jul 2019

Specifically, we use nonlinear registration of a neuroimage to a reflected version of itself ("reflective registration") to determine for each voxel its homologous (corresponding) voxel in the other hemisphere.

Generative Model-Based Ischemic Stroke Lesion Segmentation

no code yet • 6 Jun 2019

In this paper, we propose a novel generative modelbased segmentation framework composed of an extractor, a generator and a segmentor for ischemic stroke lesion segmentation.