mlsanityData to 14 Oct 2026

Image Classification of Stroke Blood Clot Origin using Deep Convolutional Neural Networks and Visual Transformers

arXiv 2305.16492 ↗First posted 25 May 2023cs.CVcited by 0

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Abstract (arXiv)

Stroke is one of two main causes of death worldwide. Many individuals suffer from ischemic stroke every year. Only in US more over 700,000 individuals meet ischemic stroke due to blood clot blocking an artery to the brain every year. The paper describes particular approach how to apply Artificial Intelligence for purposes of separating two major acute ischemic stroke (AIS) etiology subtypes: cardiac and large artery atherosclerosis. Four deep neural network architectures and simple ensemble method are used in the approach.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 6 of its 7 references that are in the map. First posted on arXiv 25 May 2023.

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References · 6

  1. 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,139
  2. 2019EfficientNet: Rethinking Model Scaling for Convolutional Neural Networkscited by 6,442
  3. 2019Self-training with Noisy Student improves ImageNet classificationcited by 1,311
  4. 2018Albumentations: fast and flexible image augmentationscited by 560
  5. 2018Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysiscited by 17
  6. 2018Angiodysplasia Detection and Localization Using Deep Convolutional Neural Networkscited by 3

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