Learning Guided Binary PSO Algorithm for Feature Selection and Reconstruction of Ultrasound Contrast Images in Endometrial Region Detection
Accurate identification of the endometrial region is critical for the early detection of endometrial lesions. However, current detection models still face two major challenges when processing endometrial imaging data: (1) In complex and noisy environments, recognition accuracy remains limited, partl...
Tallennettuna:
| Päätekijät: | , , , , , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
MDPI AG
2025-08-01
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| Sarja: | Biomimetics |
| Aiheet: | |
| Linkit: | https://www.mdpi.com/2313-7673/10/9/567 |
| Tagit: |
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