Can I read Tammetin on EtoBox?

Tammetin by safakkilic is a document available to read on EtoBox.

What is Tammetin about?

This study compares deep transfer learning and Vision Transformer methods for automated sperm morphology classification, evaluating 20 pre-trained models on two datasets. Results indicate that deep transfer learning models, particularly EfficientNet-B2 and ResNet101, outperform Vision Transformers in accuracy, highlighting the continued relevance of CNNs in medical image classification. The findings provide insights for selecting suitable architectures in clinical applications related to reproductive health

Author

safakkilic

Language

EN