Synopsis of recent research by authors named "Ho Kyung Kang"
- Ho Kyung Kang's research focuses on the application of deep learning technologies in ultrasonography, particularly for enhancing image quality and diagnostic efficiency across various medical fields such as breast and thyroid imaging.
- One significant study highlights a deep learning framework developed to classify breast lesions in ultrasound images, utilizing a large dataset of over 7400 images to differentiate between benign and malignant types.
- Kang's work also reviews various applications of deep learning in ultrasound imaging processes, including classification, detection, segmentation, and enhancements to workflow efficiency, aiming to improve diagnostic support and patient outcomes.
