Transfer Learning Insights
Prashant shares valuable insights on the effectiveness of transfer learning in medical imaging, noting that while pre-training with ImageNet showed limited benefits, domain-specific transfer learning from other X-rays proved somewhat useful. He emphasizes the importance of multi-level annotations, detailing various classification methods that enhance model training, from segmenting abnormalities to slice-level assessments.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Pragmatic Deep Learning for Medical Imagery with Prashant Warier - TWiML Talk #165
Related Questions