Publications by authors named "Haijun You"
Article Synopsis
- Researchers developed a deep learning-based method called DL-OCTL to enhance imaging of lymphatic vessels and aqueous veins in the eye through optical coherence tomography (OCT), making it easier to visualize these structures without needing labels.
- The method was tested on OCT scans from porcine eyes, showing results comparable to traditional techniques, with a strong measure of accuracy (Intersection over Union value of 0.79 ± 0.071).
- DL-OCTL not only reduces imaging artifacts caused by tissue variability but also processes images roughly 10 times faster and simplifies implementation, suggesting it could improve imaging methods in both research and clinical settings.
A review of thyroid gland segmentation and thyroid nodule segmentation methods for medical ultrasound images.
Comput Methods Programs Biomed
March 2020
Background and objective Thyroid image segmentation is an indispensable part in computer-aided diagnosis systems and medical image diagnoses of thyroid diseases. There have been dozens of studies on thyroid gland segmentation and thyroid nodule segmentation in ultrasound images. The aim of this work is to categorize and review the thyroid gland segmentation and thyroid nodule segmentation methods in medical ultrasound.
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