FetSAM: Advanced Segmentation Techniques for Fetal Head Biometrics in Ultrasound Imagery
<p><br></p><h3>Goal</h3><p dir="ltr">FetSAM represents a cutting-edge deep learning model aimed at revolutionizing fetal head ultrasound segmentation, thereby elevating prenatal diagnostic precision. </p><h3>Methods</h3><p dir="...
محفوظ في:
| المؤلف الرئيسي: | Mahmood Alzubaidi (15740693) (author) |
|---|---|
| مؤلفون آخرون: | Uzair Shah (15740699) (author), Marco Agus (8032898) (author), Mowafa Househ (9154124) (author) |
| منشور في: |
2024
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| الموضوعات: | |
| الوسوم: |
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مواد مشابهة
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Ensemble Transfer Learning for Fetal Head Analysis: From Segmentation to Gestational Age and Weight Prediction
حسب: Mahmood Alzubaidi (15740693)
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Large-scale annotation dataset for fetal head biometry in ultrasound images
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