Stro-VIGRU: Defining the Vision Recurrent-Based Baseline Model for Brain Stroke Classification

Subhajeet Das, Pritam Paul, Rohit Bahadur, Sohan Das
11/23/2025
cs.CV

No confident code implementation found for this paper.

Abstract

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 available, however, manual analysis may take time and may result in mistakes. In this work, a pre-trained Vision Transformer-based transfer learning framework is proposed for the early identification of brain stroke. A few of the encoder blocks of the ViT model are frozen, and the rest are allowed to be fine-tuned in order to learn brain stroke-specific features. The features that have been extracted are given as input to a single-layer Bi-GRU to perform classification. Class imbalance is handled by data augmentation. The model has achieved 94.06% accuracy in classifying brain stroke from the Stroke Dataset.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Brain Stroke Detection and Classification Using CT Imaging with Transformer Models and Explainable AI

86% match2025

An Efficient Deep Learning Framework for Brain Stroke Diagnosis Using Computed Tomography Images

86% match2025

An Exploratory Approach Towards Investigating and Explaining Vision Transformer and Transfer Learning for Brain Disease Detection

83% match2025

Advancing Efficient Brain Tumor Multi-Class Classification -- New Insights from the Vision Mamba Model in Transfer Learning

81% match2024

Classification of Brain Tumors using Hybrid Deep Learning Models

81% match2025

Digital FAST: An AI-Driven Multimodal Framework for Rapid and Early Stroke Screening

80% match2026

Cite this paper

@article{das2025strovigru,
  title  = {Stro-VIGRU: Defining the Vision Recurrent-Based Baseline Model for Brain Stroke Classification},
  author = {Subhajeet Das and Pritam Paul and Rohit Bahadur and Sohan Das},
  year   = {2025},
  eprint = {2511.18316},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2511.18316v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2511.18316.svg)](https://codeofpaper.com/paper/2511.18316)

Discussion