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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
3D image classification using CNN (Convolutional Neural Network)
| Date | Stars |
|---|---|
| 2026-07-24 | 269 |
| 2026-07-25 | 269 |
| 2026-07-28 | 269 |
| 2026-07-30 | 269 |
| 2026-07-31 | 268 |
| 2026-08-06 | 268 |
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# CNN 3D Images using Tensorflow * Goal: MRI classification task using CNN (Convolutional Neural Network) * Code Dependency: Tensorflow 1.0, Anaconda 4.3.8, Python 2.7 * Difficulty in learning a model from 3D medical images 1. Data size is too big. e.g., 218x182x218 or 256x256x40 2. There is only limited number of data. In other words, training size is too small. 3. All image looks very similar and only have subtle difference between subjects. * Possible solutions 1. Be equipped with good machine especially the RAM 2. Downsample images in the preprocessing 3. Data augmentation e.g., rotate, shift, combination 4. Transfer learning
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:98e5abb0fb99fc78, topic:neural-network, topic:tensorflow
matched fp:98e5abb0fb99fc78, topic:medical