•1 min read•from Machine Learning
Made and Published a Paper Comparing Analysis of CNN and Vision Transformer Architectures for Brain Tumor Detection [R]
![Made and Published a Paper Comparing Analysis of CNN and Vision Transformer Architectures for Brain Tumor Detection [R]](/_next/image?url=https%3A%2F%2Fpreview.redd.it%2Ffgq8e0swsi1h1.png%3Fwidth%3D640%26crop%3Dsmart%26auto%3Dwebp%26s%3D1376d513ddfdeeb56ba9ad93366b037a322d2e87&w=3840&q=75)
![Made and Published a Paper Comparing Analysis of CNN and Vision Transformer Architectures for Brain Tumor Detection [R]](https://preview.redd.it/fgq8e0swsi1h1.png?width=640&crop=smart&auto=webp&s=1376d513ddfdeeb56ba9ad93366b037a322d2e87 "Made and Published a Paper Comparing Analysis of CNN and Vision Transformer Architectures for Brain Tumor Detection [R]") | Hi everyone 😄 A while ago I worked on a project where I compared computer vision architectures on detecting and classifying brain tumors in brain MRI scans. I was looking for some feedback on the methodology and really anything else--just simple research stuff. This isn't meant to be some big paper but a small research project that I did as a high schooler. Here is the paper: zenodo.org/records/15973756 I appreciate any feedback! [link] [comments] |
![[link]](https://i.redd.it/fgq8e0swsi1h1.png){kind=link}
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