Deep learning for intelligent diagnosis in thyroid scintigraphy
Objective To construct deep learning (DL) models to improve the accuracy and efficiency of thyroid disease diagnosis by thyroid scintigraphy. Methods We constructed DL models with AlexNet, VGGNet, and ResNet. The models were trained separately with transfer learning. We measured each model’s perform...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2021-01-01
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| Series: | Journal of International Medical Research |
| Online Access: | https://doi.org/10.1177/0300060520982842 |