COMFormer: classification of maternal-fetal and brain anatomy using a residual cross-covariance attention guided transformer in ultrasound
Monitoring the healthy development of a fetus requires accurate and timely identification of different maternal-fetal structures as they grow. To facilitate this objective in an automated fashion, we propose a deep-learning-based image classification architecture called the COMFormer to classify mat...
| Main Authors: | , , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
IEEE
2023
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