Synopsis of recent research by authors named "Ho-Kyung Kang"
- Ho-Kyung Kang's research primarily focuses on the integration of deep learning technologies in ultrasonography to improve image quality, diagnostic accuracy, and workflow efficiency in medical imaging practices
- A significant study involved developing a deep learning framework that successfully classified breast lesions from ultrasound images using a comprehensive dataset of 7408 breast images to differentiate between benign and malignant lesions
- In a broader review, Kang explored various applications of deep learning in ultrasound imaging, covering aspects such as image processing, diagnosis, and workflow enhancements, with specific attention to different anatomical regions like the breast, thyroid, heart, and liver
