Building a Masked Autoencoder (MAE) from Scratch in PyTorch
Learn how masked autoencoder (MAE) works and implemented in PyTorch
Pytorch
Multi-Task Learning for Automated Bone Age Assessment: Heatmap-Based Vertebral Landmark Detection Using U-Net with Pretrained EfficientNet-B2 and Auxiliary Self-Supervised Tasks
This post details the machine learning strategy—including multi-task learning, transfer learning, and heatmap-based landmark detection—used to build an AI system that automates bone age assessment from X-ray images, achieving high accuracy with limited medical data.