Papers Stroke Classification
“Stroke Classification” 태그가 달린 논문 19편 · 필터 해제
TemPose-TF-ASF: Two-Stage Bidirectional Stroke Context Fusion for Badminton Stroke Classification
Accurate badminton stroke prediction is crucial for fine-grained sports analysis and tactical decision support. However, existing methods struggle to model rich temporal context. This paper introduces TemPose-TF-ASF (Adj…
Stroke ClassificationLow-Dose CT for Stroke Diagnosis: A Dual-Pipeline Deep Learning Framework for Portable Neuroimaging
Portable CT scanners may support earlier stroke assessment, but reduced photon counts introduce noise that affects image quality and may alter automated classification. We compared direct classification of simulated low-…
Stroke ClassificationBadminSense: Enabling Fine-Grained Badminton Stroke Evaluation on a Single Smartwatch
Evaluating badminton performance often requires expert coaching, which is rarely accessible for amateur players. We present BadminSense, a smartwatch-based system for fine-grained badminton performance analysis using wea…
Stroke ClassificationStrokeNeXt: A Siamese-encoder Approach for Brain Stroke Classification in Computed Tomography Imagery
We present StrokeNeXt, a model for stroke classification in 2D Computed Tomography (CT) images. StrokeNeXt employs a dual-branch design with two ConvNeXt encoders, whose features are fused through a lightweight convoluti…
Stroke ClassificationStrokeNet: Unveiling How to Learn Fine-Grained Interactions in Online Handwritten Stroke Classification
Stroke classification remains challenging due to variations in writing style, ambiguous content, and dynamic writing positions. The core challenge in stroke classification is modeling the semantic relationships between s…
Stroke ClassificationStro-VIGRU: Defining the Vision Recurrent-Based Baseline Model for Brain Stroke Classification
Stroke majorly causes death and disability worldwide, and early recognition is one of the key elements of successful treatment of the same. It is common to diagnose strokes using CT scanning, which is fast and readily av…
Stroke ClassificationTransfer LearningData AugmentationTalking Tennis: Language Feedback from 3D Biomechanical Action Recognition
Automated tennis stroke analysis has advanced significantly with the integration of biomechanical motion cues alongside deep learning techniques, enhancing stroke classification accuracy and player performance evaluation…
Stroke ClassificationAction RecognitionBrain Stroke Detection and Classification Using CT Imaging with Transformer Models and Explainable AI
Stroke is one of the leading causes of death globally, making early and accurate diagnosis essential for improving patient outcomes, particularly in emergency settings where timely intervention is critical. CT scans are …
Stroke ClassificationData AugmentationImage GenerationAn Efficient Deep Learning Framework for Brain Stroke Diagnosis Using Computed Tomography Images
Brain stroke is a leading cause of mortality and long-term disability worldwide, underscoring the need for precise and rapid prediction techniques. Computed Tomography (CT) scan is considered one of the most effective me…
Stroke ClassificationFeature EngineeringBrain Stroke Classification Using Wavelet Transform and MLP Neural Networks on DWI MRI Images
This paper presents a lightweight framework for classifying brain stroke types from Diffusion-Weighted Imaging (DWI) MRI scans, employing a Multi-Layer Perceptron (MLP) neural network with Wavelet Transform for feature e…
Computational EfficiencyDiagnosticMedical Image AnalysisStroke ClassificationStroke classification using Virtual Hybrid Edge Detection from in silico electrical impedance tomography data
Electrical impedance tomography (EIT) is a non-invasive imaging method for recovering the internal conductivity of a physical body from electric boundary measurements. EIT combined with machine learning has shown promise…
Edge DetectionStroke ClassificationEnd-to-end Stroke imaging analysis, using reservoir computing-based effective connectivity, and interpretable Artificial intelligence
In this paper, we propose a reservoir computing-based and directed graph analysis pipeline. The goal of this pipeline is to define an efficient brain representation for connectivity in stroke data derived from magnetic r…
DiagnosticExplainable artificial intelligenceStroke ClassificationPredicting recovery following stroke: deep learning, multimodal data and feature selection using explainable AI
Machine learning offers great potential for automated prediction of post-stroke symptoms and their response to rehabilitation. Major challenges for this endeavour include the very high dimensionality of neuroimaging data…
feature selectionStroke ClassificationFine-Grained Action Detection with RGB and Pose Information using Two Stream Convolutional Networks
As participants of the MediaEval 2022 Sport Task, we propose a two-stream network approach for the classification and detection of table tennis strokes. Each stream is a succession of 3D Convolutional Neural Network (CNN…
Action ClassificationAction DetectionFine-Grained Action DetectionStroke ClassificationBaseline Method for the Sport Task of MediaEval 2022 with 3D CNNs using Attention Mechanisms
This paper presents the baseline method proposed for the Sports Video task part of the MediaEval 2022 benchmark. This task proposes two subtasks: stroke classification from trimmed videos, and stroke detection from untri…
Action ClassificationAction DetectionStroke ClassificationSpatio-Temporal CNN baseline method for the Sports Video Task of MediaEval 2021 benchmark
This paper presents the baseline method proposed for the Sports Video task part of the MediaEval 2021 benchmark. This task proposes a stroke detection and a stroke classification subtasks. This baseline addresses both su…
Action ClassificationAction DetectionStroke ClassificationAutomatic Stroke Classification of Tabla Accompaniment in Hindustani Vocal Concert Audio
The tabla is a unique percussion instrument due to the combined harmonic and percussive nature of its timbre, and the contrasting harmonic frequency ranges of its two drums. This allows a tabla player to uniquely emphasi…
Data AugmentationGeneral ClassificationStroke ClassificationRadiologist-level stroke classification on non-contrast CT scans with Deep U-Net
Segmentation of ischemic stroke and intracranial hemorrhage on computed tomography is essential for investigation and treatment of stroke. In this paper, we modified the U-Net CNN architecture for the stroke identificati…
General ClassificationStroke ClassificationStroke lesion detection using convolutional neural networks
Stroke is an injury that affects the brain tissue, mainly caused by changes in the blood supply to a particular region of the brain. As consequence, some specific functions related to that affected region can be reduced,…
Computed Tomography (CT)Lesion DetectionStroke Classification