Let's Build Brain Bleeding AI Detector From Scratch

Описание: This is the most step-by-step spelled-out explanation of training clinical neural networks to detect brain bleeding (intracranial hemorrhage) from scratch. It assumes zero to basic knowledge of Python, Kaggle, deep learning, artificial neural networks, CT of the brain, brain anatomy, and neurology. You only need curiosity about AI in medicine and interest in building clinical AI tools.

Links:
Website: https://clinicalaiacademy.com/
Newsletter: https://clinicalaiacademy.substack.com/
Discussion forum: Just use youtube comments below.
On linkedin:   / drahmadnazzal  

The notebook on Kaggle:
https://www.kaggle.com/code/amdnzl/in...

Chapters:
00:00:00 intro
00:01:54 principles guiding this tutorial
00:03:07 introducing Kaggle
00:03:41 computed tomography (CT) and intracranial hemorrhage (ICH)
00:09:16 finding, loading, and exploring the dataset
00:17:44 train/validation split
00:20:45 preprocessing using pytorch dataset and dataloaders
00:26:14 human visual system
00:29:15 convolutional neural networks (CNNs)
00:37:23 training the neural networks
00:45:41 evaluating the performance of neural networks
00:49:16 predictions, inference, and visualisation
00:52:13 summary, reflections, and conclusion

Video for educational purposes only.